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[GigaCourse.Com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery

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File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[GigaCourse.Com].url
49 B
01 Introduction/001 Course Outline.en.srt
8.3 kB
01 Introduction/001 Course Outline.mp4
58 MB
01 Introduction/002 Join Our Online Classroom!.html
3.3 kB
01 Introduction/003 Exercise_ Meet The Community.html
3.7 kB
01 Introduction/004 All Course Resources + Notebooks.html
3.4 kB
01 Introduction/external-assets-links.txt
180 B
02 Deep Learning and TensorFlow Fundamentals/001 What is deep learning_.en.srt
7.1 kB
02 Deep Learning and TensorFlow Fundamentals/001 What is deep learning_.mp4
34 MB
02 Deep Learning and TensorFlow Fundamentals/002 Why use deep learning_.en.srt
15 kB
02 Deep Learning and TensorFlow Fundamentals/002 Why use deep learning_.mp4
62 MB
02 Deep Learning and TensorFlow Fundamentals/003 What are neural networks_.en.srt
15 kB
02 Deep Learning and TensorFlow Fundamentals/003 What are neural networks_.mp4
63 MB
02 Deep Learning and TensorFlow Fundamentals/004 What is deep learning already being used for_.en.srt
14 kB
02 Deep Learning and TensorFlow Fundamentals/004 What is deep learning already being used for_.mp4
76 MB
02 Deep Learning and TensorFlow Fundamentals/005 What is and why use TensorFlow_.en.srt
12 kB
02 Deep Learning and TensorFlow Fundamentals/005 What is and why use TensorFlow_.mp4
69 MB
02 Deep Learning and TensorFlow Fundamentals/006 What is a Tensor_.en.srt
5.2 kB
02 Deep Learning and TensorFlow Fundamentals/006 What is a Tensor_.mp4
28 MB
02 Deep Learning and TensorFlow Fundamentals/007 What we're going to cover throughout the course.en.srt
7.5 kB
02 Deep Learning and TensorFlow Fundamentals/007 What we're going to cover throughout the course.mp4
29 MB
02 Deep Learning and TensorFlow Fundamentals/008 How to approach this course.en.srt
8.6 kB
02 Deep Learning and TensorFlow Fundamentals/008 How to approach this course.mp4
26 MB
02 Deep Learning and TensorFlow Fundamentals/009 Need A Refresher_.html
1.8 kB
02 Deep Learning and TensorFlow Fundamentals/010 Creating your first tensors with TensorFlow and tf.constant().en.srt
26 kB
02 Deep Learning and TensorFlow Fundamentals/010 Creating your first tensors with TensorFlow and tf.constant().mp4
135 MB
02 Deep Learning and TensorFlow Fundamentals/011 Creating tensors with TensorFlow and tf.Variable().en.srt
10 kB
02 Deep Learning and TensorFlow Fundamentals/011 Creating tensors with TensorFlow and tf.Variable().mp4
71 MB
02 Deep Learning and TensorFlow Fundamentals/012 Creating random tensors with TensorFlow.en.srt
14 kB
02 Deep Learning and TensorFlow Fundamentals/012 Creating random tensors with TensorFlow.mp4
88 MB
02 Deep Learning and TensorFlow Fundamentals/013 Shuffling the order of tensors.en.srt
13 kB
02 Deep Learning and TensorFlow Fundamentals/013 Shuffling the order of tensors.mp4
90 MB
02 Deep Learning and TensorFlow Fundamentals/014 Creating tensors from NumPy arrays.en.srt
16 kB
02 Deep Learning and TensorFlow Fundamentals/014 Creating tensors from NumPy arrays.mp4
101 MB
02 Deep Learning and TensorFlow Fundamentals/015 Getting information from your tensors (tensor attributes).en.srt
18 kB
02 Deep Learning and TensorFlow Fundamentals/015 Getting information from your tensors (tensor attributes).mp4
88 MB
02 Deep Learning and TensorFlow Fundamentals/016 Indexing and expanding tensors.en.srt
18 kB
02 Deep Learning and TensorFlow Fundamentals/016 Indexing and expanding tensors.mp4
86 MB
02 Deep Learning and TensorFlow Fundamentals/017 Manipulating tensors with basic operations.en.srt
7.2 kB
02 Deep Learning and TensorFlow Fundamentals/017 Manipulating tensors with basic operations.mp4
45 MB
02 Deep Learning and TensorFlow Fundamentals/018 Matrix multiplication with tensors part 1.en.srt
16 kB
02 Deep Learning and TensorFlow Fundamentals/018 Matrix multiplication with tensors part 1.mp4
101 MB
02 Deep Learning and TensorFlow Fundamentals/019 Matrix multiplication with tensors part 2.en.srt
18 kB
02 Deep Learning and TensorFlow Fundamentals/019 Matrix multiplication with tensors part 2.mp4
108 MB
02 Deep Learning and TensorFlow Fundamentals/020 Matrix multiplication with tensors part 3.en.srt
14 kB
02 Deep Learning and TensorFlow Fundamentals/020 Matrix multiplication with tensors part 3.mp4
81 MB
02 Deep Learning and TensorFlow Fundamentals/021 Changing the datatype of tensors.en.srt
9.0 kB
02 Deep Learning and TensorFlow Fundamentals/021 Changing the datatype of tensors.mp4
71 MB
02 Deep Learning and TensorFlow Fundamentals/022 Tensor aggregation (finding the min, max, mean & more).en.srt
13 kB
02 Deep Learning and TensorFlow Fundamentals/022 Tensor aggregation (finding the min, max, mean & more).mp4
90 MB
02 Deep Learning and TensorFlow Fundamentals/023 Tensor troubleshooting example (updating tensor datatypes).en.srt
6.9 kB
02 Deep Learning and TensorFlow Fundamentals/023 Tensor troubleshooting example (updating tensor datatypes).mp4
69 MB
02 Deep Learning and TensorFlow Fundamentals/024 Finding the positional minimum and maximum of a tensor (argmin and argmax).en.srt
13 kB
02 Deep Learning and TensorFlow Fundamentals/024 Finding the positional minimum and maximum of a tensor (argmin and argmax).mp4
96 MB
02 Deep Learning and TensorFlow Fundamentals/025 Squeezing a tensor (removing all 1-dimension axes).en.srt
4.0 kB
02 Deep Learning and TensorFlow Fundamentals/025 Squeezing a tensor (removing all 1-dimension axes).mp4
30 MB
02 Deep Learning and TensorFlow Fundamentals/026 One-hot encoding tensors.en.srt
8.4 kB
02 Deep Learning and TensorFlow Fundamentals/026 One-hot encoding tensors.mp4
60 MB
02 Deep Learning and TensorFlow Fundamentals/027 Trying out more tensor math operations.en.srt
6.5 kB
02 Deep Learning and TensorFlow Fundamentals/027 Trying out more tensor math operations.mp4
56 MB
02 Deep Learning and TensorFlow Fundamentals/028 Exploring TensorFlow and NumPy's compatibility.en.srt
7.4 kB
02 Deep Learning and TensorFlow Fundamentals/028 Exploring TensorFlow and NumPy's compatibility.mp4
44 MB
02 Deep Learning and TensorFlow Fundamentals/029 Making sure our tensor operations run really fast on GPUs.en.srt
15 kB
02 Deep Learning and TensorFlow Fundamentals/029 Making sure our tensor operations run really fast on GPUs.mp4
111 MB
02 Deep Learning and TensorFlow Fundamentals/030 TensorFlow Fundamentals challenge, exercises & extra-curriculum.html
2.9 kB
02 Deep Learning and TensorFlow Fundamentals/031 Python + Machine Learning Monthly.html
1.7 kB
02 Deep Learning and TensorFlow Fundamentals/032 LinkedIn Endorsements.html
2.9 kB
02 Deep Learning and TensorFlow Fundamentals/external-assets-links.txt
91 B
03 Neural network regression with TensorFlow/001 Introduction to Neural Network Regression with TensorFlow.en.srt
12 kB
03 Neural network regression with TensorFlow/001 Introduction to Neural Network Regression with TensorFlow.mp4
60 MB
03 Neural network regression with TensorFlow/002 Inputs and outputs of a neural network regression model.en.srt
14 kB
03 Neural network regression with TensorFlow/002 Inputs and outputs of a neural network regression model.mp4
58 MB
03 Neural network regression with TensorFlow/003 Anatomy and architecture of a neural network regression model.en.srt
13 kB
03 Neural network regression with TensorFlow/003 Anatomy and architecture of a neural network regression model.mp4
59 MB
03 Neural network regression with TensorFlow/004 Creating sample regression data (so we can model it).en.srt
17 kB
03 Neural network regression with TensorFlow/004 Creating sample regression data (so we can model it).mp4
90 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.en.srt
27 kB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4
182 MB
03 Neural network regression with TensorFlow/006 Steps in improving a model with TensorFlow part 1.en.srt
7.9 kB
03 Neural network regression with TensorFlow/006 Steps in improving a model with TensorFlow part 1.mp4
46 MB
03 Neural network regression with TensorFlow/007 Steps in improving a model with TensorFlow part 2.en.srt
14 kB
03 Neural network regression with TensorFlow/007 Steps in improving a model with TensorFlow part 2.mp4
90 MB
03 Neural network regression with TensorFlow/008 Steps in improving a model with TensorFlow part 3.en.srt
18 kB
03 Neural network regression with TensorFlow/008 Steps in improving a model with TensorFlow part 3.mp4
133 MB
03 Neural network regression with TensorFlow/009 Evaluating a TensorFlow model part 1 (_visualise, visualise, visualise_).en.srt
10 kB
03 Neural network regression with TensorFlow/009 Evaluating a TensorFlow model part 1 (_visualise, visualise, visualise_).mp4
67 MB
03 Neural network regression with TensorFlow/010 Evaluating a TensorFlow model part 2 (the three datasets).en.srt
15 kB
03 Neural network regression with TensorFlow/010 Evaluating a TensorFlow model part 2 (the three datasets).mp4
82 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).en.srt
22 kB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4
193 MB
03 Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 4 (visualising a model's layers).en.srt
9.6 kB
03 Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 4 (visualising a model's layers).mp4
70 MB
03 Neural network regression with TensorFlow/013 Evaluating a TensorFlow model part 5 (visualising a model's predictions).en.srt
12 kB
03 Neural network regression with TensorFlow/013 Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp4
79 MB
03 Neural network regression with TensorFlow/014 Evaluating a TensorFlow model part 6 (common regression evaluation metrics).en.srt
12 kB
03 Neural network regression with TensorFlow/014 Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp4
70 MB
03 Neural network regression with TensorFlow/015 Evaluating a TensorFlow regression model part 7 (mean absolute error).en.srt
8.5 kB
03 Neural network regression with TensorFlow/015 Evaluating a TensorFlow regression model part 7 (mean absolute error).mp4
56 MB
03 Neural network regression with TensorFlow/016 Evaluating a TensorFlow regression model part 7 (mean square error).en.srt
4.1 kB
03 Neural network regression with TensorFlow/016 Evaluating a TensorFlow regression model part 7 (mean square error).mp4
32 MB
03 Neural network regression with TensorFlow/017 Setting up TensorFlow modelling experiments part 1 (start with a simple model).en.srt
18 kB
03 Neural network regression with TensorFlow/017 Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4
127 MB
03 Neural network regression with TensorFlow/018 Setting up TensorFlow modelling experiments part 2 (increasing complexity).en.srt
17 kB
03 Neural network regression with TensorFlow/018 Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp4
96 MB
03 Neural network regression with TensorFlow/019 Comparing and tracking your TensorFlow modelling experiments.en.srt
14 kB
03 Neural network regression with TensorFlow/019 Comparing and tracking your TensorFlow modelling experiments.mp4
92 MB
03 Neural network regression with TensorFlow/020 How to save a TensorFlow model.en.srt
12 kB
03 Neural network regression with TensorFlow/020 How to save a TensorFlow model.mp4
92 MB
03 Neural network regression with TensorFlow/021 How to load and use a saved TensorFlow model.en.srt
13 kB
03 Neural network regression with TensorFlow/021 How to load and use a saved TensorFlow model.mp4
104 MB
03 Neural network regression with TensorFlow/022 (Optional) How to save and download files from Google Colab.en.srt
8.1 kB
03 Neural network regression with TensorFlow/022 (Optional) How to save and download files from Google Colab.mp4
68 MB
03 Neural network regression with TensorFlow/023 Putting together what we've learned part 1 (preparing a dataset).en.srt
20 kB
03 Neural network regression with TensorFlow/023 Putting together what we've learned part 1 (preparing a dataset).mp4
144 MB
03 Neural network regression with TensorFlow/024 Putting together what we've learned part 2 (building a regression model).en.srt
19 kB
03 Neural network regression with TensorFlow/024 Putting together what we've learned part 2 (building a regression model).mp4
121 MB
03 Neural network regression with TensorFlow/025 Putting together what we've learned part 3 (improving our regression model).en.srt
20 kB
03 Neural network regression with TensorFlow/025 Putting together what we've learned part 3 (improving our regression model).mp4
155 MB
03 Neural network regression with TensorFlow/026 Preprocessing data with feature scaling part 1 (what is feature scaling_).en.srt
14 kB
03 Neural network regression with TensorFlow/026 Preprocessing data with feature scaling part 1 (what is feature scaling_).mp4
92 MB
03 Neural network regression with TensorFlow/027 Preprocessing data with feature scaling part 2 (normalising our data).en.srt
14 kB
03 Neural network regression with TensorFlow/027 Preprocessing data with feature scaling part 2 (normalising our data).mp4
97 MB
03 Neural network regression with TensorFlow/028 Preprocessing data with feature scaling part 3 (fitting a model on scaled data).en.srt
12 kB
03 Neural network regression with TensorFlow/028 Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp4
76 MB
03 Neural network regression with TensorFlow/029 TensorFlow Regression challenge, exercises & extra-curriculum.html
2.9 kB
03 Neural network regression with TensorFlow/030 Learning Guideline.html
1.2 kB
03 Neural network regression with TensorFlow/external-assets-links.txt
127 B
04 Neural network classification in TensorFlow/001 Introduction to neural network classification in TensorFlow.en.srt
13 kB
04 Neural network classification in TensorFlow/001 Introduction to neural network classification in TensorFlow.mp4
73 MB
04 Neural network classification in TensorFlow/002 Example classification problems (and their inputs and outputs).en.srt
10 kB
04 Neural network classification in TensorFlow/002 Example classification problems (and their inputs and outputs).mp4
51 MB
04 Neural network classification in TensorFlow/003 Input and output tensors of classification problems.en.srt
9.2 kB
04 Neural network classification in TensorFlow/003 Input and output tensors of classification problems.mp4
51 MB
04 Neural network classification in TensorFlow/004 Typical architecture of neural network classification models with TensorFlow.en.srt
15 kB
04 Neural network classification in TensorFlow/004 Typical architecture of neural network classification models with TensorFlow.mp4
113 MB
04 Neural network classification in TensorFlow/005 Creating and viewing classification data to model.en.srt
15 kB
04 Neural network classification in TensorFlow/005 Creating and viewing classification data to model.mp4
106 MB
04 Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data.en.srt
6.8 kB
04 Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data.mp4
38 MB
04 Neural network classification in TensorFlow/007 Building a not very good classification model with TensorFlow.en.srt
17 kB
04 Neural network classification in TensorFlow/007 Building a not very good classification model with TensorFlow.mp4
126 MB
04 Neural network classification in TensorFlow/008 Trying to improve our not very good classification model.en.srt
13 kB
04 Neural network classification in TensorFlow/008 Trying to improve our not very good classification model.mp4
84 MB
04 Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions.en.srt
20 kB
04 Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions.mp4
161 MB
04 Neural network classification in TensorFlow/010 Make our poor classification model work for a regression dataset.en.srt
17 kB
04 Neural network classification in TensorFlow/010 Make our poor classification model work for a regression dataset.mp4
123 MB
04 Neural network classification in TensorFlow/011 Non-linearity part 1_ Straight lines and non-straight lines.en.srt
14 kB
04 Neural network classification in TensorFlow/011 Non-linearity part 1_ Straight lines and non-straight lines.mp4
96 MB
04 Neural network classification in TensorFlow/012 Non-linearity part 2_ Building our first neural network with non-linearity.en.srt
7.9 kB
04 Neural network classification in TensorFlow/012 Non-linearity part 2_ Building our first neural network with non-linearity.mp4
59 MB
04 Neural network classification in TensorFlow/013 Non-linearity part 3_ Upgrading our non-linear model with more layers.en.srt
15 kB
04 Neural network classification in TensorFlow/013 Non-linearity part 3_ Upgrading our non-linear model with more layers.mp4
123 MB
04 Neural network classification in TensorFlow/014 Non-linearity part 4_ Modelling our non-linear data once and for all.en.srt
12 kB
04 Neural network classification in TensorFlow/014 Non-linearity part 4_ Modelling our non-linear data once and for all.mp4
97 MB
04 Neural network classification in TensorFlow/015 Non-linearity part 5_ Replicating non-linear activation functions from scratch.en.srt
19 kB
04 Neural network classification in TensorFlow/015 Non-linearity part 5_ Replicating non-linear activation functions from scratch.mp4
146 MB
04 Neural network classification in TensorFlow/016 Getting great results in less time by tweaking the learning rate.en.srt
20 kB
04 Neural network classification in TensorFlow/016 Getting great results in less time by tweaking the learning rate.mp4
137 MB
04 Neural network classification in TensorFlow/017 Using the TensorFlow History object to plot a model's loss curves.en.srt
8.7 kB
04 Neural network classification in TensorFlow/017 Using the TensorFlow History object to plot a model's loss curves.mp4
62 MB
04 Neural network classification in TensorFlow/018 Using callbacks to find a model's ideal learning rate.en.srt
26 kB
04 Neural network classification in TensorFlow/018 Using callbacks to find a model's ideal learning rate.mp4
156 MB
04 Neural network classification in TensorFlow/019 Training and evaluating a model with an ideal learning rate.en.srt
12 kB
04 Neural network classification in TensorFlow/019 Training and evaluating a model with an ideal learning rate.mp4
89 MB
04 Neural network classification in TensorFlow/020 Introducing more classification evaluation methods.en.srt
9.2 kB
04 Neural network classification in TensorFlow/020 Introducing more classification evaluation methods.mp4
42 MB
04 Neural network classification in TensorFlow/021 Finding the accuracy of our classification model.en.srt
5.9 kB
04 Neural network classification in TensorFlow/021 Finding the accuracy of our classification model.mp4
34 MB
04 Neural network classification in TensorFlow/022 Creating our first confusion matrix (to see where our model is getting confused).en.srt
12 kB
04 Neural network classification in TensorFlow/022 Creating our first confusion matrix (to see where our model is getting confused).mp4
66 MB
04 Neural network classification in TensorFlow/023 Making our confusion matrix prettier.en.srt
19 kB
04 Neural network classification in TensorFlow/023 Making our confusion matrix prettier.mp4
114 MB
04 Neural network classification in TensorFlow/024 Putting things together with multi-class classification part 1_ Getting the data.en.srt
14 kB
04 Neural network classification in TensorFlow/024 Putting things together with multi-class classification part 1_ Getting the data.mp4
87 MB
04 Neural network classification in TensorFlow/025 Multi-class classification part 2_ Becoming one with the data.en.srt
10 kB
04 Neural network classification in TensorFlow/025 Multi-class classification part 2_ Becoming one with the data.mp4
48 MB
04 Neural network classification in TensorFlow/026 Multi-class classification part 3_ Building a multi-class classification model.en.srt
22 kB
04 Neural network classification in TensorFlow/026 Multi-class classification part 3_ Building a multi-class classification model.mp4
142 MB
04 Neural network classification in TensorFlow/027 Multi-class classification part 4_ Improving performance with normalisation.en.srt
17 kB
04 Neural network classification in TensorFlow/027 Multi-class classification part 4_ Improving performance with normalisation.mp4
113 MB
04 Neural network classification in TensorFlow/028 Multi-class classification part 5_ Comparing normalised and non-normalised data.en.srt
5.7 kB
04 Neural network classification in TensorFlow/028 Multi-class classification part 5_ Comparing normalised and non-normalised data.mp4
27 MB
04 Neural network classification in TensorFlow/029 Multi-class classification part 6_ Finding the ideal learning rate.en.srt
16 kB
04 Neural network classification in TensorFlow/029 Multi-class classification part 6_ Finding the ideal learning rate.mp4
73 MB
04 Neural network classification in TensorFlow/030 Multi-class classification part 7_ Evaluating our model.en.srt
18 kB
04 Neural network classification in TensorFlow/030 Multi-class classification part 7_ Evaluating our model.mp4
119 MB
04 Neural network classification in TensorFlow/031 Multi-class classification part 8_ Creating a confusion matrix.en.srt
7.0 kB
04 Neural network classification in TensorFlow/031 Multi-class classification part 8_ Creating a confusion matrix.mp4
40 MB
04 Neural network classification in TensorFlow/032 Multi-class classification part 9_ Visualising random model predictions.en.srt
14 kB
04 Neural network classification in TensorFlow/032 Multi-class classification part 9_ Visualising random model predictions.mp4
66 MB
04 Neural network classification in TensorFlow/033 What _patterns_ is our model learning_.en.srt
22 kB
04 Neural network classification in TensorFlow/033 What _patterns_ is our model learning_.mp4
128 MB
04 Neural network classification in TensorFlow/034 TensorFlow classification challenge, exercises & extra-curriculum.html
3.4 kB
04 Neural network classification in TensorFlow/external-assets-links.txt
132 B
05 Computer Vision and Convolutional Neural Networks in TensorFlow/001 Introduction to Computer Vision with TensorFlow.en.srt
16 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/001 Introduction to Computer Vision with TensorFlow.mp4
75 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/002 Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.en.srt
13 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/002 Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp4
77 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/003 Downloading an image dataset for our first Food Vision model.en.srt
11 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/003 Downloading an image dataset for our first Food Vision model.mp4
73 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/004 Becoming One With Data.en.srt
7.0 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/004 Becoming One With Data.mp4
46 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/005 Becoming One With Data Part 2.en.srt
17 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/005 Becoming One With Data Part 2.mp4
105 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/006 Becoming One With Data Part 3.en.srt
6.8 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/006 Becoming One With Data Part 3.mp4
40 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/007 Building an end to end CNN Model.en.srt
27 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/007 Building an end to end CNN Model.mp4
155 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/008 Using a GPU to run our CNN model 5x faster.en.srt
14 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/008 Using a GPU to run our CNN model 5x faster.mp4
115 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/009 Trying a non-CNN model on our image data.en.srt
12 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/009 Trying a non-CNN model on our image data.mp4
101 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/010 Improving our non-CNN model by adding more layers.en.srt
15 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/010 Improving our non-CNN model by adding more layers.mp4
106 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/011 Breaking our CNN model down part 1_ Becoming one with the data.en.srt
14 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/011 Breaking our CNN model down part 1_ Becoming one with the data.mp4
91 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/012 Breaking our CNN model down part 2_ Preparing to load our data.en.srt
17 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/012 Breaking our CNN model down part 2_ Preparing to load our data.mp4
110 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/013 Breaking our CNN model down part 3_ Loading our data with ImageDataGenerator.en.srt
14 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/013 Breaking our CNN model down part 3_ Loading our data with ImageDataGenerator.mp4
104 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/014 Breaking our CNN model down part 4_ Building a baseline CNN model.en.srt
12 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/014 Breaking our CNN model down part 4_ Building a baseline CNN model.mp4
85 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.en.srt
24 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4
186 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/016 Breaking our CNN model down part 6_ Compiling and fitting our baseline CNN.en.srt
10 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/016 Breaking our CNN model down part 6_ Compiling and fitting our baseline CNN.mp4
77 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/017 Breaking our CNN model down part 7_ Evaluating our CNN's training curves.en.srt
18 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/017 Breaking our CNN model down part 7_ Evaluating our CNN's training curves.mp4
106 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/018 Breaking our CNN model down part 8_ Reducing overfitting with Max Pooling.en.srt
20 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/018 Breaking our CNN model down part 8_ Reducing overfitting with Max Pooling.mp4
130 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/019 Breaking our CNN model down part 9_ Reducing overfitting with data augmentation.en.srt
9.8 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/019 Breaking our CNN model down part 9_ Reducing overfitting with data augmentation.mp4
66 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/020 Breaking our CNN model down part 10_ Visualizing our augmented data.en.srt
22 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/020 Breaking our CNN model down part 10_ Visualizing our augmented data.mp4
158 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/021 Breaking our CNN model down part 11_ Training a CNN model on augmented data.en.srt
14 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/021 Breaking our CNN model down part 11_ Training a CNN model on augmented data.mp4
94 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/022 Breaking our CNN model down part 12_ Discovering the power of shuffling data.en.srt
15 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/022 Breaking our CNN model down part 12_ Discovering the power of shuffling data.mp4
104 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/023 Breaking our CNN model down part 13_ Exploring options to improve our model.en.srt
7.8 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/023 Breaking our CNN model down part 13_ Exploring options to improve our model.mp4
50 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/024 Downloading a custom image to make predictions on.en.srt
7.3 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/024 Downloading a custom image to make predictions on.mp4
53 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/025 Writing a helper function to load and preprocessing custom images.en.srt
14 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/025 Writing a helper function to load and preprocessing custom images.mp4
105 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/026 Making a prediction on a custom image with our trained CNN.en.srt
16 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/026 Making a prediction on a custom image with our trained CNN.mp4
100 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/027 Multi-class CNN's part 1_ Becoming one with the data.en.srt
24 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/027 Multi-class CNN's part 1_ Becoming one with the data.mp4
140 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/028 Multi-class CNN's part 2_ Preparing our data (turning it into tensors).en.srt
10 kB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/028 Multi-class CNN's part 2_ Preparing our data (turning it into tensors).mp4
73 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/029 Multi-class CNN's part 3_ Building a multi-class CNN model.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/030 Multi-class CNN's part 4_ Fitting a multi-class CNN model to the data.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/031 Multi-class CNN's part 5_ Evaluating our multi-class CNN model.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/031 Multi-class CNN's part 5_ Evaluating our multi-class CNN model.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/032 Multi-class CNN's part 6_ Trying to fix overfitting by removing layers.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/032 Multi-class CNN's part 6_ Trying to fix overfitting by removing layers.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/033 Multi-class CNN's part 7_ Trying to fix overfitting with data augmentation.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/033 Multi-class CNN's part 7_ Trying to fix overfitting with data augmentation.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/034 Multi-class CNN's part 8_ Things you could do to improve your CNN model.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/034 Multi-class CNN's part 8_ Things you could do to improve your CNN model.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/035 Multi-class CNN's part 9_ Making predictions with our model on custom images.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/035 Multi-class CNN's part 9_ Making predictions with our model on custom images.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/036 Saving and loading our trained CNN model.en.srt
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/036 Saving and loading our trained CNN model.mp4
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05 Computer Vision and Convolutional Neural Networks in TensorFlow/037 TensorFlow computer vision and CNNs challenge, exercises & extra-curriculum.html
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/001 What is and why use transfer learning_.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/002 Downloading and preparing data for our first transfer learning model.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/002 Downloading and preparing data for our first transfer learning model.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/003 Introducing Callbacks in TensorFlow and making a callback to track our models.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/003 Introducing Callbacks in TensorFlow and making a callback to track our models.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/004 Exploring the TensorFlow Hub website for pretrained models.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/004 Exploring the TensorFlow Hub website for pretrained models.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/005 Building and compiling a TensorFlow Hub feature extraction model.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/005 Building and compiling a TensorFlow Hub feature extraction model.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/006 Blowing our previous models out of the water with transfer learning.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/006 Blowing our previous models out of the water with transfer learning.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/007 Plotting the loss curves of our ResNet feature extraction model.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/007 Plotting the loss curves of our ResNet feature extraction model.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/008 Building and training a pre-trained EfficientNet model on our data.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/008 Building and training a pre-trained EfficientNet model on our data.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/009 Different Types of Transfer Learning.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/009 Different Types of Transfer Learning.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/010 Comparing Our Model's Results.en.srt
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/010 Comparing Our Model's Results.mp4
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06 Transfer Learning in TensorFlow Part 1_ Feature extraction/011 TensorFlow Transfer Learning Part 1 challenge, exercises & extra-curriculum.html
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/001 Introduction to Transfer Learning in TensorFlow Part 2_ Fine-tuning.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/001 Introduction to Transfer Learning in TensorFlow Part 2_ Fine-tuning.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/002 Importing a script full of helper functions (and saving lots of space).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/002 Importing a script full of helper functions (and saving lots of space).mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/004 Discussing the four (actually five) modelling experiments we're running.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/004 Discussing the four (actually five) modelling experiments we're running.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/007 Compiling and fitting our first Functional API model.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/007 Compiling and fitting our first Functional API model.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/008 Getting a feature vector from our trained model.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/008 Getting a feature vector from our trained model.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/009 Drilling into the concept of a feature vector (a learned representation).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/010 Downloading and preparing the data for Model 1 (1 percent of training data).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/010 Downloading and preparing the data for Model 1 (1 percent of training data).mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/011 Building a data augmentation layer to use inside our model.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/012 Visualising what happens when images pass through our data augmentation layer.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/013 Building Model 1 (with a data augmentation layer and 1% of training data).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/014 Building Model 2 (with a data augmentation layer and 10% of training data).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/014 Building Model 2 (with a data augmentation layer and 10% of training data).mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/015 Creating a ModelCheckpoint to save our model's weights during training.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/015 Creating a ModelCheckpoint to save our model's weights during training.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/016 Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/017 Loading and comparing saved weights to our existing trained Model 2.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/019 Fitting and evaluating Model 3 (our first fine-tuned model).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/019 Fitting and evaluating Model 3 (our first fine-tuned model).mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/020 Comparing our model's results before and after fine-tuning.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/020 Comparing our model's results before and after fine-tuning.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/021 Downloading and preparing data for our biggest experiment yet (Model 4).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/022 Preparing our final modelling experiment (Model 4).en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/023 Fine-tuning Model 4 on 100% of the training data and evaluating its results.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/023 Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/024 Comparing our modelling experiment results in TensorBoard.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/024 Comparing our modelling experiment results in TensorBoard.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/025 How to view and delete previous TensorBoard experiments.en.srt
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/025 How to view and delete previous TensorBoard experiments.mp4
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07 Transfer Learning in TensorFlow Part 2_ Fine tuning/026 Transfer Learning in TensorFlow Part 2 challenge, exercises and extra-curriculum.html
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/001 Introduction to Transfer Learning Part 3_ Scaling Up.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/001 Introduction to Transfer Learning Part 3_ Scaling Up.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/002 Getting helper functions ready and downloading data to model.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/002 Getting helper functions ready and downloading data to model.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/003 Outlining the model we're going to build and building a ModelCheckpoint callback.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/003 Outlining the model we're going to build and building a ModelCheckpoint callback.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/004 Creating a data augmentation layer to use with our model.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/004 Creating a data augmentation layer to use with our model.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/006 Fitting and evaluating our biggest transfer learning model yet.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/006 Fitting and evaluating our biggest transfer learning model yet.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/009 Saving and loading our trained model.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/009 Saving and loading our trained model.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/011 Making predictions with our trained model on 25,250 test samples.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/011 Making predictions with our trained model on 25,250 test samples.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/012 Unravelling our test dataset for comparing ground truth labels to predictions.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/012 Unravelling our test dataset for comparing ground truth labels to predictions.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/013 Confirming our model's predictions are in the same order as the test labels.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/013 Confirming our model's predictions are in the same order as the test labels.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/014 Creating a confusion matrix for our model's 101 different classes.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/014 Creating a confusion matrix for our model's 101 different classes.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/015 Evaluating every individual class in our dataset.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/015 Evaluating every individual class in our dataset.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/016 Plotting our model's F1-scores for each separate class.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/016 Plotting our model's F1-scores for each separate class.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/017 Creating a function to load and prepare images for making predictions.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/017 Creating a function to load and prepare images for making predictions.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/019 Discussing the benefits of finding your model's most wrong predictions.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/019 Discussing the benefits of finding your model's most wrong predictions.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/020 Writing code to uncover our model's most wrong predictions.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/020 Writing code to uncover our model's most wrong predictions.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/021 Plotting and visualising the samples our model got most wrong.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/021 Plotting and visualising the samples our model got most wrong.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/022 Making predictions on and plotting our own custom images.en.srt
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/022 Making predictions on and plotting our own custom images.mp4
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08 Transfer Learning with TensorFlow Part 3_ Scaling Up/023 Transfer Learning in TensorFlow Part 3 challenge, exercises and extra-curriculum.html
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09 Milestone Project 1_ Food Vision Big™/001 Introduction to Milestone Project 1_ Food Vision Big™.en.srt
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09 Milestone Project 1_ Food Vision Big™/001 Introduction to Milestone Project 1_ Food Vision Big™.mp4
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09 Milestone Project 1_ Food Vision Big™/002 Making sure we have access to the right GPU for mixed precision training.en.srt
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09 Milestone Project 1_ Food Vision Big™/002 Making sure we have access to the right GPU for mixed precision training.mp4
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09 Milestone Project 1_ Food Vision Big™/003 Getting helper functions ready.en.srt
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09 Milestone Project 1_ Food Vision Big™/003 Getting helper functions ready.mp4
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09 Milestone Project 1_ Food Vision Big™/004 Introduction to TensorFlow Datasets (TFDS).en.srt
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09 Milestone Project 1_ Food Vision Big™/004 Introduction to TensorFlow Datasets (TFDS).mp4
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09 Milestone Project 1_ Food Vision Big™/005 Exploring and becoming one with the data (Food101 from TensorFlow Datasets).en.srt
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09 Milestone Project 1_ Food Vision Big™/005 Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4
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09 Milestone Project 1_ Food Vision Big™/006 Creating a preprocessing function to prepare our data for modelling.en.srt
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09 Milestone Project 1_ Food Vision Big™/006 Creating a preprocessing function to prepare our data for modelling.mp4
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09 Milestone Project 1_ Food Vision Big™/007 Batching and preparing our datasets (to make them run fast).en.srt
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09 Milestone Project 1_ Food Vision Big™/008 Exploring what happens when we batch and prefetch our data.en.srt
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09 Milestone Project 1_ Food Vision Big™/008 Exploring what happens when we batch and prefetch our data.mp4
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09 Milestone Project 1_ Food Vision Big™/009 Creating modelling callbacks for our feature extraction model.en.srt
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09 Milestone Project 1_ Food Vision Big™/009 Creating modelling callbacks for our feature extraction model.mp4
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09 Milestone Project 1_ Food Vision Big™/010 Note_ Mixed Precision producing errors for TensorFlow 2.5+.html
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09 Milestone Project 1_ Food Vision Big™/011 Turning on mixed precision training with TensorFlow.en.srt
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09 Milestone Project 1_ Food Vision Big™/012 Creating a feature extraction model capable of using mixed precision training.en.srt
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09 Milestone Project 1_ Food Vision Big™/013 Checking to see if our model is using mixed precision training layer by layer.en.srt
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09 Milestone Project 1_ Food Vision Big™/013 Checking to see if our model is using mixed precision training layer by layer.mp4
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09 Milestone Project 1_ Food Vision Big™/014 Training and evaluating a feature extraction model (Food Vision Big™).en.srt
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09 Milestone Project 1_ Food Vision Big™/014 Training and evaluating a feature extraction model (Food Vision Big™).mp4
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09 Milestone Project 1_ Food Vision Big™/015 Introducing your Milestone Project 1 challenge_ build a model to beat DeepFood.en.srt
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09 Milestone Project 1_ Food Vision Big™/015 Introducing your Milestone Project 1 challenge_ build a model to beat DeepFood.mp4
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09 Milestone Project 1_ Food Vision Big™/016 Milestone Project 1_ Food Vision Big™, exercises and extra-curriculum.html
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10 NLP Fundamentals in TensorFlow/001 Welcome to natural language processing with TensorFlow!.html
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10 NLP Fundamentals in TensorFlow/002 Introduction to Natural Language Processing (NLP) and Sequence Problems.en.srt
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10 NLP Fundamentals in TensorFlow/003 Example NLP inputs and outputs.en.srt
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10 NLP Fundamentals in TensorFlow/004 The typical architecture of a Recurrent Neural Network (RNN).en.srt
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10 NLP Fundamentals in TensorFlow/004 The typical architecture of a Recurrent Neural Network (RNN).mp4
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10 NLP Fundamentals in TensorFlow/005 Preparing a notebook for our first NLP with TensorFlow project.en.srt
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10 NLP Fundamentals in TensorFlow/005 Preparing a notebook for our first NLP with TensorFlow project.mp4
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10 NLP Fundamentals in TensorFlow/006 Becoming one with the data and visualising a text dataset.en.srt
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10 NLP Fundamentals in TensorFlow/006 Becoming one with the data and visualising a text dataset.mp4
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10 NLP Fundamentals in TensorFlow/007 Splitting data into training and validation sets.en.srt
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10 NLP Fundamentals in TensorFlow/008 Converting text data to numbers using tokenisation and embeddings (overview).en.srt
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10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.en.srt
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10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4
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10 NLP Fundamentals in TensorFlow/010 Mapping the TextVectorization layer to text data and turning it into numbers.en.srt
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10 NLP Fundamentals in TensorFlow/010 Mapping the TextVectorization layer to text data and turning it into numbers.mp4
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10 NLP Fundamentals in TensorFlow/011 Creating an Embedding layer to turn tokenised text into embedding vectors.en.srt
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10 NLP Fundamentals in TensorFlow/011 Creating an Embedding layer to turn tokenised text into embedding vectors.mp4
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10 NLP Fundamentals in TensorFlow/012 Discussing the various modelling experiments we're going to run.en.srt
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10 NLP Fundamentals in TensorFlow/013 Model 0_ Building a baseline model to try and improve upon.en.srt
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10 NLP Fundamentals in TensorFlow/014 Creating a function to track and evaluate our model's results.en.srt
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10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.en.srt
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10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4
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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.en.srt
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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4
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10 NLP Fundamentals in TensorFlow/017 High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.en.srt
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10 NLP Fundamentals in TensorFlow/017 High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.mp4
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10 NLP Fundamentals in TensorFlow/018 Model 2_ Building, fitting and evaluating our first TensorFlow RNN model (LSTM).en.srt
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10 NLP Fundamentals in TensorFlow/019 Model 3_ Building, fitting and evaluating a GRU-cell powered RNN.en.srt
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10 NLP Fundamentals in TensorFlow/020 Model 4_ Building, fitting and evaluating a bidirectional RNN model.en.srt
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10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.en.srt
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10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4
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10 NLP Fundamentals in TensorFlow/022 Model 5_ Building, fitting and evaluating a 1D CNN for text.en.srt
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10 NLP Fundamentals in TensorFlow/023 Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).en.srt
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10 NLP Fundamentals in TensorFlow/024 Model 6_ Building, training and evaluating a transfer learning model for NLP.en.srt
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10 NLP Fundamentals in TensorFlow/025 Preparing subsets of data for model 7 (same as model 6 but 10% of data).en.srt
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10 NLP Fundamentals in TensorFlow/026 Model 7_ Building, training and evaluating a transfer learning model on 10% data.en.srt
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10 NLP Fundamentals in TensorFlow/027 Fixing our data leakage issue with model 7 and retraining it.en.srt
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10 NLP Fundamentals in TensorFlow/028 Comparing all our modelling experiments evaluation metrics.en.srt
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10 NLP Fundamentals in TensorFlow/029 Uploading our model's training logs to TensorBoard and comparing them.en.srt
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10 NLP Fundamentals in TensorFlow/030 Saving and loading in a trained NLP model with TensorFlow.en.srt
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10 NLP Fundamentals in TensorFlow/031 Downloading a pretrained model and preparing data to investigate predictions.en.srt
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10 NLP Fundamentals in TensorFlow/032 Visualising our model's most wrong predictions.en.srt
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10 NLP Fundamentals in TensorFlow/032 Visualising our model's most wrong predictions.mp4
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10 NLP Fundamentals in TensorFlow/033 Making and visualising predictions on the test dataset.en.srt
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10 NLP Fundamentals in TensorFlow/033 Making and visualising predictions on the test dataset.mp4
77 MB
10 NLP Fundamentals in TensorFlow/034 Understanding the concept of the speed_score tradeoff.en.srt
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10 NLP Fundamentals in TensorFlow/034 Understanding the concept of the speed_score tradeoff.mp4
130 MB
10 NLP Fundamentals in TensorFlow/035 NLP Fundamentals in TensorFlow challenge, exercises and extra-curriculum.html
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10 NLP Fundamentals in TensorFlow/[CourseClub.Me].url
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10 NLP Fundamentals in TensorFlow/[GigaCourse.Com].url
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11 Milestone Project 2_ SkimLit/001 Introduction to Milestone Project 2_ SkimLit.en.srt
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11 Milestone Project 2_ SkimLit/001 Introduction to Milestone Project 2_ SkimLit.mp4
148 MB
11 Milestone Project 2_ SkimLit/002 What we're going to cover in Milestone Project 2 (NLP for medical abstracts).en.srt
12 kB
11 Milestone Project 2_ SkimLit/002 What we're going to cover in Milestone Project 2 (NLP for medical abstracts).mp4
71 MB
11 Milestone Project 2_ SkimLit/003 SkimLit inputs and outputs.en.srt
19 kB
11 Milestone Project 2_ SkimLit/003 SkimLit inputs and outputs.mp4
77 MB
11 Milestone Project 2_ SkimLit/004 Setting up our notebook for Milestone Project 2 (getting the data).en.srt
20 kB
11 Milestone Project 2_ SkimLit/004 Setting up our notebook for Milestone Project 2 (getting the data).mp4
146 MB
11 Milestone Project 2_ SkimLit/005 Visualising examples from the dataset (becoming one with the data).en.srt
18 kB
11 Milestone Project 2_ SkimLit/005 Visualising examples from the dataset (becoming one with the data).mp4
133 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.en.srt
27 kB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4
218 MB
11 Milestone Project 2_ SkimLit/007 Performing visual data analysis on our preprocessed text.en.srt
11 kB
11 Milestone Project 2_ SkimLit/007 Performing visual data analysis on our preprocessed text.mp4
74 MB
11 Milestone Project 2_ SkimLit/008 Turning our target labels into numbers (ML models require numbers).en.srt
20 kB
11 Milestone Project 2_ SkimLit/008 Turning our target labels into numbers (ML models require numbers).mp4
117 MB
11 Milestone Project 2_ SkimLit/009 Model 0_ Creating, fitting and evaluating a baseline model for SkimLit.en.srt
12 kB
11 Milestone Project 2_ SkimLit/009 Model 0_ Creating, fitting and evaluating a baseline model for SkimLit.mp4
82 MB
11 Milestone Project 2_ SkimLit/010 Preparing our data for deep sequence models.en.srt
14 kB
11 Milestone Project 2_ SkimLit/010 Preparing our data for deep sequence models.mp4
85 MB
11 Milestone Project 2_ SkimLit/011 Creating a text vectoriser to map our tokens (text) to numbers.en.srt
20 kB
11 Milestone Project 2_ SkimLit/011 Creating a text vectoriser to map our tokens (text) to numbers.mp4
130 MB
11 Milestone Project 2_ SkimLit/012 Creating a custom token embedding layer with TensorFlow.en.srt
13 kB
11 Milestone Project 2_ SkimLit/012 Creating a custom token embedding layer with TensorFlow.mp4
100 MB
11 Milestone Project 2_ SkimLit/013 Creating fast loading dataset with the TensorFlow tf.data API.en.srt
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11 Milestone Project 2_ SkimLit/013 Creating fast loading dataset with the TensorFlow tf.data API.mp4
91 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.en.srt
26 kB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4
168 MB
11 Milestone Project 2_ SkimLit/015 Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.en.srt
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11 Milestone Project 2_ SkimLit/015 Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.mp4
125 MB
11 Milestone Project 2_ SkimLit/016 Model 2_ Building, fitting and evaluating a Conv1D model with token embeddings.en.srt
17 kB
11 Milestone Project 2_ SkimLit/016 Model 2_ Building, fitting and evaluating a Conv1D model with token embeddings.mp4
107 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.en.srt
31 kB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4
197 MB
11 Milestone Project 2_ SkimLit/018 Creating a character-level embedding layer with tf.keras.layers.Embedding.en.srt
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11 Milestone Project 2_ SkimLit/018 Creating a character-level embedding layer with tf.keras.layers.Embedding.mp4
78 MB
11 Milestone Project 2_ SkimLit/019 Model 3_ Building, fitting and evaluating a Conv1D model on character embeddings.en.srt
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11 Milestone Project 2_ SkimLit/019 Model 3_ Building, fitting and evaluating a Conv1D model on character embeddings.mp4
131 MB
11 Milestone Project 2_ SkimLit/020 Discussing how we're going to build Model 4 (character + token embeddings).en.srt
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11 Milestone Project 2_ SkimLit/020 Discussing how we're going to build Model 4 (character + token embeddings).mp4
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11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).en.srt
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11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4
182 MB
11 Milestone Project 2_ SkimLit/022 Model 4_ Plotting and visually exploring different data inputs.en.srt
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11 Milestone Project 2_ SkimLit/022 Model 4_ Plotting and visually exploring different data inputs.mp4
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11 Milestone Project 2_ SkimLit/023 Crafting multi-input fast loading tf.data datasets for Model 4.en.srt
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11 Milestone Project 2_ SkimLit/023 Crafting multi-input fast loading tf.data datasets for Model 4.mp4
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11 Milestone Project 2_ SkimLit/024 Model 4_ Building, fitting and evaluating a hybrid embedding model.en.srt
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11 Milestone Project 2_ SkimLit/024 Model 4_ Building, fitting and evaluating a hybrid embedding model.mp4
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11 Milestone Project 2_ SkimLit/025 Model 5_ Adding positional embeddings via feature engineering (overview).en.srt
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11 Milestone Project 2_ SkimLit/025 Model 5_ Adding positional embeddings via feature engineering (overview).mp4
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11 Milestone Project 2_ SkimLit/026 Encoding the line number feature to used with Model 5.en.srt
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11 Milestone Project 2_ SkimLit/026 Encoding the line number feature to used with Model 5.mp4
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11 Milestone Project 2_ SkimLit/027 Encoding the total lines feature to be used with Model 5.en.srt
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11 Milestone Project 2_ SkimLit/027 Encoding the total lines feature to be used with Model 5.mp4
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11 Milestone Project 2_ SkimLit/028 Model 5_ Building the foundations of a tribrid embedding model.en.srt
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11 Milestone Project 2_ SkimLit/028 Model 5_ Building the foundations of a tribrid embedding model.mp4
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11 Milestone Project 2_ SkimLit/029 Model 5_ Completing the build of a tribrid embedding model for sequences.en.srt
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11 Milestone Project 2_ SkimLit/029 Model 5_ Completing the build of a tribrid embedding model for sequences.mp4
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11 Milestone Project 2_ SkimLit/030 Visually inspecting the architecture of our tribrid embedding model.en.srt
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11 Milestone Project 2_ SkimLit/030 Visually inspecting the architecture of our tribrid embedding model.mp4
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11 Milestone Project 2_ SkimLit/031 Creating multi-level data input pipelines for Model 5 with the tf.data API.en.srt
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11 Milestone Project 2_ SkimLit/031 Creating multi-level data input pipelines for Model 5 with the tf.data API.mp4
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11 Milestone Project 2_ SkimLit/032 Bringing SkimLit to life!!! (fitting and evaluating Model 5).en.srt
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11 Milestone Project 2_ SkimLit/032 Bringing SkimLit to life!!! (fitting and evaluating Model 5).mp4
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11 Milestone Project 2_ SkimLit/033 Comparing the performance of all of our modelling experiments.en.srt
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11 Milestone Project 2_ SkimLit/033 Comparing the performance of all of our modelling experiments.mp4
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11 Milestone Project 2_ SkimLit/034 Saving, loading & testing our best performing model.en.srt
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11 Milestone Project 2_ SkimLit/034 Saving, loading & testing our best performing model.mp4
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11 Milestone Project 2_ SkimLit/035 Congratulations and your challenge before heading to the next module.en.srt
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11 Milestone Project 2_ SkimLit/035 Congratulations and your challenge before heading to the next module.mp4
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11 Milestone Project 2_ SkimLit/036 Milestone Project 2 (SkimLit) challenge, exercises and extra-curriculum.html
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/001 Welcome to time series fundamentals with TensorFlow + Milestone Project 3!.html
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/002 Introduction to Milestone Project 3 (BitPredict) & where you can get help.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/002 Introduction to Milestone Project 3 (BitPredict) & where you can get help.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/003 What is a time series problem and example forecasting problems at Uber.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/003 What is a time series problem and example forecasting problems at Uber.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/004 Example forecasting problems in daily life.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/004 Example forecasting problems in daily life.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/005 What can be forecast_.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/005 What can be forecast_.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/006 What we're going to cover (broadly).en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/006 What we're going to cover (broadly).mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/007 Time series forecasting inputs and outputs.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/007 Time series forecasting inputs and outputs.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/008 Downloading and inspecting our Bitcoin historical dataset.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/008 Downloading and inspecting our Bitcoin historical dataset.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/009 Different kinds of time series patterns & different amounts of feature variables.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/009 Different kinds of time series patterns & different amounts of feature variables.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/010 Visualizing our Bitcoin historical data with pandas.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/010 Visualizing our Bitcoin historical data with pandas.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/011 Reading in our Bitcoin data with Python's CSV module.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/011 Reading in our Bitcoin data with Python's CSV module.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/012 Creating train and test splits for time series (the wrong way).en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/012 Creating train and test splits for time series (the wrong way).mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/013 Creating train and test splits for time series (the right way).en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/013 Creating train and test splits for time series (the right way).mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/014 Creating a plotting function to visualize our time series data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/014 Creating a plotting function to visualize our time series data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/015 Discussing the various modelling experiments were going to be running.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/015 Discussing the various modelling experiments were going to be running.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/016 Model 0_ Making and visualizing a naive forecast model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/016 Model 0_ Making and visualizing a naive forecast model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/017 Discussing some of the most common time series evaluation metrics.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/017 Discussing some of the most common time series evaluation metrics.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/018 Implementing MASE with TensorFlow.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/018 Implementing MASE with TensorFlow.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/019 Creating a function to evaluate our model's forecasts with various metrics.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/019 Creating a function to evaluate our model's forecasts with various metrics.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/020 Discussing other non-TensorFlow kinds of time series forecasting models.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/020 Discussing other non-TensorFlow kinds of time series forecasting models.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/021 Formatting data Part 2_ Creating a function to label our windowed time series.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/021 Formatting data Part 2_ Creating a function to label our windowed time series.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/022 Discussing the use of windows and horizons in time series data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/022 Discussing the use of windows and horizons in time series data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/024 Turning our windowed time series data into training and test sets.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/024 Turning our windowed time series data into training and test sets.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/025 Creating a modelling checkpoint callback to save our best performing model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/025 Creating a modelling checkpoint callback to save our best performing model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/026 Model 1_ Building, compiling and fitting a deep learning model on Bitcoin data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/026 Model 1_ Building, compiling and fitting a deep learning model on Bitcoin data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/027 Creating a function to make predictions with our trained models.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/027 Creating a function to make predictions with our trained models.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/028 Model 2_ Building, fitting and evaluating a deep model with a larger window size.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/028 Model 2_ Building, fitting and evaluating a deep model with a larger window size.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/029 Model 3_ Building, fitting and evaluating a model with a larger horizon size.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/029 Model 3_ Building, fitting and evaluating a model with a larger horizon size.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/030 Adjusting the evaluation function to work for predictions with larger horizons.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/030 Adjusting the evaluation function to work for predictions with larger horizons.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/031 Model 3_ Visualizing the results.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/031 Model 3_ Visualizing the results.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/032 Comparing our modelling experiments so far and discussing autocorrelation.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/032 Comparing our modelling experiments so far and discussing autocorrelation.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/033 Preparing data for building a Conv1D model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/033 Preparing data for building a Conv1D model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/034 Model 4_ Building, fitting and evaluating a Conv1D model on our Bitcoin data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/034 Model 4_ Building, fitting and evaluating a Conv1D model on our Bitcoin data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/035 Model 5_ Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/035 Model 5_ Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/036 Investigating how to turn our univariate time series into multivariate.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/036 Investigating how to turn our univariate time series into multivariate.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/037 Creating and plotting a multivariate time series with BTC price and block reward.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/037 Creating and plotting a multivariate time series with BTC price and block reward.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/038 Preparing our multivariate time series for a model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/038 Preparing our multivariate time series for a model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/039 Model 6_ Building, fitting and evaluating a multivariate time series model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/039 Model 6_ Building, fitting and evaluating a multivariate time series model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/040 Model 7_ Discussing what we're going to be doing with the N-BEATS algorithm.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/040 Model 7_ Discussing what we're going to be doing with the N-BEATS algorithm.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/043 Model 7_ Creating a performant data pipeline for the N-BEATS model with tf.data.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/043 Model 7_ Creating a performant data pipeline for the N-BEATS model with tf.data.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/045 Model 7_ Getting ready for residual connections.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/045 Model 7_ Getting ready for residual connections.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/046 Model 7_ Outlining the steps we're going to take to build the N-BEATS model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/046 Model 7_ Outlining the steps we're going to take to build the N-BEATS model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/048 Model 7_ Plotting the N-BEATS algorithm we've created and admiring its beauty.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/048 Model 7_ Plotting the N-BEATS algorithm we've created and admiring its beauty.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/049 Model 8_ Ensemble model overview.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/049 Model 8_ Ensemble model overview.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/052 Discussing the importance of prediction intervals in forecasting.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/052 Discussing the importance of prediction intervals in forecasting.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/053 Getting the upper and lower bounds of our prediction intervals.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/053 Getting the upper and lower bounds of our prediction intervals.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/054 Plotting the prediction intervals of our ensemble model predictions.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/054 Plotting the prediction intervals of our ensemble model predictions.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/055 (Optional) Discussing the types of uncertainty in machine learning.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/055 (Optional) Discussing the types of uncertainty in machine learning.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/056 Model 9_ Preparing data to create a model capable of predicting into the future.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/056 Model 9_ Preparing data to create a model capable of predicting into the future.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/057 Model 9_ Building, compiling and fitting a future predictions model.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/057 Model 9_ Building, compiling and fitting a future predictions model.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/058 Model 9_ Discussing what's required for our model to make future predictions.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/059 Model 9_ Creating a function to make forecasts into the future.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/059 Model 9_ Creating a function to make forecasts into the future.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/060 Model 9_ Plotting our model's future forecasts.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/060 Model 9_ Plotting our model's future forecasts.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/061 Model 10_ Introducing the turkey problem and making data for it.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/061 Model 10_ Introducing the turkey problem and making data for it.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/062 Model 10_ Building a model to predict on turkey data (why forecasting is BS).en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/063 Comparing the results of all of our models and discussing where to go next.en.srt
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/063 Comparing the results of all of our models and discussing where to go next.mp4
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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/064 TensorFlow Time Series Fundamentals Challenge and Extra Resources.html
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13 Passing the TensorFlow Developer Certificate Exam/001 Get ready to be TensorFlow Developer Certified!.html
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13 Passing the TensorFlow Developer Certificate Exam/002 What is the TensorFlow Developer Certification_.en.srt
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13 Passing the TensorFlow Developer Certificate Exam/002 What is the TensorFlow Developer Certification_.mp4
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13 Passing the TensorFlow Developer Certificate Exam/003 Why the TensorFlow Developer Certification_.en.srt
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13 Passing the TensorFlow Developer Certificate Exam/003 Why the TensorFlow Developer Certification_.mp4
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13 Passing the TensorFlow Developer Certificate Exam/004 How to prepare (your brain) for the TensorFlow Developer Certification.en.srt
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13 Passing the TensorFlow Developer Certificate Exam/004 How to prepare (your brain) for the TensorFlow Developer Certification.mp4
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13 Passing the TensorFlow Developer Certificate Exam/005 How to prepare (your computer) for the TensorFlow Developer Certification.en.srt
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13 Passing the TensorFlow Developer Certificate Exam/005 How to prepare (your computer) for the TensorFlow Developer Certification.mp4
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13 Passing the TensorFlow Developer Certificate Exam/006 What to do after the TensorFlow Developer Certification exam.en.srt
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13 Passing the TensorFlow Developer Certificate Exam/006 What to do after the TensorFlow Developer Certification exam.mp4
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14 Where To Go From Here_/001 Become An Alumni.html
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14 Where To Go From Here_/002 LinkedIn Endorsements.html
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14 Where To Go From Here_/003 TensorFlow Certificate.html
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15 Appendix_ Machine Learning Primer/001 Quick Note_ Upcoming Videos.html
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15 Appendix_ Machine Learning Primer/002 What is Machine Learning_.en.srt
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15 Appendix_ Machine Learning Primer/002 What is Machine Learning_.mp4
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15 Appendix_ Machine Learning Primer/003 AI_Machine Learning_Data Science.en.srt
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15 Appendix_ Machine Learning Primer/003 AI_Machine Learning_Data Science.mp4
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15 Appendix_ Machine Learning Primer/004 Exercise_ Machine Learning Playground.en.srt
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15 Appendix_ Machine Learning Primer/004 Exercise_ Machine Learning Playground.mp4
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15 Appendix_ Machine Learning Primer/005 How Did We Get Here_.en.srt
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15 Appendix_ Machine Learning Primer/005 How Did We Get Here_.mp4
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15 Appendix_ Machine Learning Primer/006 Exercise_ YouTube Recommendation Engine.en.srt
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15 Appendix_ Machine Learning Primer/006 Exercise_ YouTube Recommendation Engine.mp4
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15 Appendix_ Machine Learning Primer/007 Types of Machine Learning.en.srt
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15 Appendix_ Machine Learning Primer/007 Types of Machine Learning.mp4
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15 Appendix_ Machine Learning Primer/008 Are You Getting It Yet_.html
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15 Appendix_ Machine Learning Primer/009 What Is Machine Learning_ Round 2.en.srt
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15 Appendix_ Machine Learning Primer/009 What Is Machine Learning_ Round 2.mp4
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15 Appendix_ Machine Learning Primer/010 Section Review.en.srt
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15 Appendix_ Machine Learning Primer/010 Section Review.mp4
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15 Appendix_ Machine Learning Primer/[CourseClub.Me].url
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15 Appendix_ Machine Learning Primer/[GigaCourse.Com].url
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15 Appendix_ Machine Learning Primer/external-assets-links.txt
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16 Appendix_ Machine Learning and Data Science Framework/001 Quick Note_ Upcoming Videos.html
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16 Appendix_ Machine Learning and Data Science Framework/002 Section Overview.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/002 Section Overview.mp4
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16 Appendix_ Machine Learning and Data Science Framework/003 Introducing Our Framework.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/003 Introducing Our Framework.mp4
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16 Appendix_ Machine Learning and Data Science Framework/004 6 Step Machine Learning Framework.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/004 6 Step Machine Learning Framework.mp4
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16 Appendix_ Machine Learning and Data Science Framework/005 Types of Machine Learning Problems.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/005 Types of Machine Learning Problems.mp4
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16 Appendix_ Machine Learning and Data Science Framework/006 Types of Data.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/006 Types of Data.mp4
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16 Appendix_ Machine Learning and Data Science Framework/007 Types of Evaluation.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/007 Types of Evaluation.mp4
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16 Appendix_ Machine Learning and Data Science Framework/008 Features In Data.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/008 Features In Data.mp4
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16 Appendix_ Machine Learning and Data Science Framework/009 Modelling - Splitting Data.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/009 Modelling - Splitting Data.mp4
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16 Appendix_ Machine Learning and Data Science Framework/010 Modelling - Picking the Model.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/010 Modelling - Picking the Model.mp4
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16 Appendix_ Machine Learning and Data Science Framework/011 Modelling - Tuning.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/011 Modelling - Tuning.mp4
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16 Appendix_ Machine Learning and Data Science Framework/012 Modelling - Comparison.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/012 Modelling - Comparison.mp4
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16 Appendix_ Machine Learning and Data Science Framework/013 Overfitting and Underfitting Definitions.html
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16 Appendix_ Machine Learning and Data Science Framework/014 Experimentation.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/014 Experimentation.mp4
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16 Appendix_ Machine Learning and Data Science Framework/015 Tools We Will Use.en.srt
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16 Appendix_ Machine Learning and Data Science Framework/015 Tools We Will Use.mp4
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16 Appendix_ Machine Learning and Data Science Framework/016 Optional_ Elements of AI.html
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16 Appendix_ Machine Learning and Data Science Framework/external-assets-links.txt
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17 Appendix_ Pandas for Data Analysis/001 Quick Note_ Upcoming Videos.html
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17 Appendix_ Pandas for Data Analysis/002 Section Overview.en.srt
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17 Appendix_ Pandas for Data Analysis/002 Section Overview.mp4
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17 Appendix_ Pandas for Data Analysis/003 Downloading Workbooks and Assignments.html
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17 Appendix_ Pandas for Data Analysis/004 Pandas Introduction.en.srt
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17 Appendix_ Pandas for Data Analysis/004 Pandas Introduction.mp4
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17 Appendix_ Pandas for Data Analysis/005 Series, Data Frames and CSVs.en.srt
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17 Appendix_ Pandas for Data Analysis/005 Series, Data Frames and CSVs.mp4
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17 Appendix_ Pandas for Data Analysis/006 Data from URLs.html
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17 Appendix_ Pandas for Data Analysis/007 Describing Data with Pandas.en.srt
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17 Appendix_ Pandas for Data Analysis/007 Describing Data with Pandas.mp4
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17 Appendix_ Pandas for Data Analysis/008 Selecting and Viewing Data with Pandas.en.srt
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17 Appendix_ Pandas for Data Analysis/008 Selecting and Viewing Data with Pandas.mp4
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17 Appendix_ Pandas for Data Analysis/009 Selecting and Viewing Data with Pandas Part 2.en.srt
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17 Appendix_ Pandas for Data Analysis/009 Selecting and Viewing Data with Pandas Part 2.mp4
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17 Appendix_ Pandas for Data Analysis/010 Manipulating Data.en.srt
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17 Appendix_ Pandas for Data Analysis/010 Manipulating Data.mp4
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17 Appendix_ Pandas for Data Analysis/011 Manipulating Data 2.en.srt
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17 Appendix_ Pandas for Data Analysis/011 Manipulating Data 2.mp4
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17 Appendix_ Pandas for Data Analysis/012 Manipulating Data 3.en.srt
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17 Appendix_ Pandas for Data Analysis/012 Manipulating Data 3.mp4
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17 Appendix_ Pandas for Data Analysis/013 Assignment_ Pandas Practice.html
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17 Appendix_ Pandas for Data Analysis/014 How To Download The Course Assignments.en.srt
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17 Appendix_ Pandas for Data Analysis/014 How To Download The Course Assignments.mp4
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17 Appendix_ Pandas for Data Analysis/388 pandas-anatomy-of-a-dataframe.png
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17 Appendix_ Pandas for Data Analysis/391 car-sales.csv
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17 Appendix_ Pandas for Data Analysis/393 car-sales-missing-data.csv
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17 Appendix_ Pandas for Data Analysis/394 pandas-anatomy-of-a-dataframe.png
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17 Appendix_ Pandas for Data Analysis/external-assets-links.txt
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18 Appendix_ NumPy/001 Quick Note_ Upcoming Videos.html
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18 Appendix_ NumPy/002 Section Overview.en.srt
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18 Appendix_ NumPy/002 Section Overview.mp4
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18 Appendix_ NumPy/003 NumPy Introduction.en.srt
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18 Appendix_ NumPy/003 NumPy Introduction.mp4
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18 Appendix_ NumPy/004 Quick Note_ Correction In Next Video.html
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18 Appendix_ NumPy/005 NumPy DataTypes and Attributes.en.srt
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18 Appendix_ NumPy/005 NumPy DataTypes and Attributes.mp4
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18 Appendix_ NumPy/006 Creating NumPy Arrays.en.srt
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18 Appendix_ NumPy/006 Creating NumPy Arrays.mp4
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18 Appendix_ NumPy/007 NumPy Random Seed.en.srt
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18 Appendix_ NumPy/007 NumPy Random Seed.mp4
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18 Appendix_ NumPy/008 Viewing Arrays and Matrices.en.srt
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18 Appendix_ NumPy/008 Viewing Arrays and Matrices.mp4
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18 Appendix_ NumPy/009 Manipulating Arrays.en.srt
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18 Appendix_ NumPy/009 Manipulating Arrays.mp4
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18 Appendix_ NumPy/010 Manipulating Arrays 2.en.srt
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18 Appendix_ NumPy/010 Manipulating Arrays 2.mp4
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18 Appendix_ NumPy/011 Standard Deviation and Variance.en.srt
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18 Appendix_ NumPy/011 Standard Deviation and Variance.mp4
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18 Appendix_ NumPy/012 Reshape and Transpose.en.srt
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18 Appendix_ NumPy/012 Reshape and Transpose.mp4
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18 Appendix_ NumPy/013 Dot Product vs Element Wise.en.srt
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18 Appendix_ NumPy/013 Dot Product vs Element Wise.mp4
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18 Appendix_ NumPy/014 Exercise_ Nut Butter Store Sales.en.srt
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18 Appendix_ NumPy/014 Exercise_ Nut Butter Store Sales.mp4
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18 Appendix_ NumPy/015 Comparison Operators.en.srt
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18 Appendix_ NumPy/015 Comparison Operators.mp4
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18 Appendix_ NumPy/016 Sorting Arrays.en.srt
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18 Appendix_ NumPy/016 Sorting Arrays.mp4
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18 Appendix_ NumPy/017 Turn Images Into NumPy Arrays.en.srt
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18 Appendix_ NumPy/017 Turn Images Into NumPy Arrays.mp4
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18 Appendix_ NumPy/018 Assignment_ NumPy Practice.html
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18 Appendix_ NumPy/019 Optional_ Extra NumPy resources.html
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18 Appendix_ NumPy/414 numpy-images.zip
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18 Appendix_ NumPy/external-assets-links.txt
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19 BONUS SECTION/001 Special Bonus Lecture.html
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[CourseClub.Me].url
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