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ZeroToMastery - TensorFlow for Deep Learning Bootcamp Zero to Mastery (5.2025)

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File Name
Size
1. Introduction/1. TensorFlow for Deep Learning Zero to Mastery.mp4
42 MB
1. Introduction/1. TensorFlow for Deep Learning Zero to Mastery.srt
2.4 kB
1. Introduction/2. Course Outline.mp4
18 MB
1. Introduction/2. Course Outline.srt
7.0 kB
1. Introduction/3. Exercise Meet Your Classmates and Instructor.html
4.4 kB
1. Introduction/4. All Course Resources + Notebooks.html
7.3 kB
1. Introduction/4.1. All Course Resources + Notebooks.jpg
158 kB
1. Introduction/5. Python + Machine Learning Monthly.html
6.5 kB
1. Introduction/6. ZTM Plugin + Understanding Your Video Player.html
6.9 kB
1. Introduction/7. Set Your Learning Streak Goal.html
7.8 kB
10. NLP Fundamentals in TensorFlow/1. Welcome to natural language processing with TensorFlow!.html
217 kB
10. NLP Fundamentals in TensorFlow/10. Mapping the TextVectorization layer to text data and turning it into numbers.mp4
73 MB
10. NLP Fundamentals in TensorFlow/10. Mapping the TextVectorization layer to text data and turning it into numbers.srt
18 kB
10. NLP Fundamentals in TensorFlow/11. Creating an Embedding layer to turn tokenised text into embedding vectors.mp4
103 MB
10. NLP Fundamentals in TensorFlow/11. Creating an Embedding layer to turn tokenised text into embedding vectors.srt
20 kB
10. NLP Fundamentals in TensorFlow/12. Discussing the various modelling experiments we're going to run.mp4
63 MB
10. NLP Fundamentals in TensorFlow/12. Discussing the various modelling experiments we're going to run.srt
15 kB
10. NLP Fundamentals in TensorFlow/13. Model 0 Building a baseline model to try and improve upon.mp4
64 MB
10. NLP Fundamentals in TensorFlow/13. Model 0 Building a baseline model to try and improve upon.srt
14 kB
10. NLP Fundamentals in TensorFlow/14. Creating a function to track and evaluate our model's results.mp4
114 MB
10. NLP Fundamentals in TensorFlow/14. Creating a function to track and evaluate our model's results.srt
17 kB
10. NLP Fundamentals in TensorFlow/15. Model 1 Building, fitting and evaluating our first deep model on text data.mp4
151 MB
10. NLP Fundamentals in TensorFlow/15. Model 1 Building, fitting and evaluating our first deep model on text data.srt
33 kB
10. NLP Fundamentals in TensorFlow/16. Visualizing our model's learned word embeddings with TensorFlow's projector tool.mp4
269 MB
10. NLP Fundamentals in TensorFlow/16. Visualizing our model's learned word embeddings with TensorFlow's projector tool.srt
34 kB
10. NLP Fundamentals in TensorFlow/17. High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.mp4
70 MB
10. NLP Fundamentals in TensorFlow/17. High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.srt
15 kB
10. NLP Fundamentals in TensorFlow/18. Model 2 Building, fitting and evaluating our first TensorFlow RNN model (LSTM).mp4
114 MB
10. NLP Fundamentals in TensorFlow/18. Model 2 Building, fitting and evaluating our first TensorFlow RNN model (LSTM).srt
21 kB
10. NLP Fundamentals in TensorFlow/19. Model 3 Building, fitting and evaluating a GRU-cell powered RNN.mp4
118 MB
10. NLP Fundamentals in TensorFlow/19. Model 3 Building, fitting and evaluating a GRU-cell powered RNN.srt
28 kB
10. NLP Fundamentals in TensorFlow/2. Introduction to Natural Language Processing (NLP) and Sequence Problems.mp4
85 MB
10. NLP Fundamentals in TensorFlow/2. Introduction to Natural Language Processing (NLP) and Sequence Problems.srt
23 kB
10. NLP Fundamentals in TensorFlow/20. Model 4 Building, fitting and evaluating a bidirectional RNN model.mp4
109 MB
10. NLP Fundamentals in TensorFlow/20. Model 4 Building, fitting and evaluating a bidirectional RNN model.srt
31 kB
10. NLP Fundamentals in TensorFlow/21. Discussing the intuition behind Conv1D neural networks for text and sequences.mp4
129 MB
10. NLP Fundamentals in TensorFlow/21. Discussing the intuition behind Conv1D neural networks for text and sequences.srt
30 kB
10. NLP Fundamentals in TensorFlow/22. Model 5 Building, fitting and evaluating a 1D CNN for text.mp4
51 MB
10. NLP Fundamentals in TensorFlow/22. Model 5 Building, fitting and evaluating a 1D CNN for text.srt
17 kB
10. NLP Fundamentals in TensorFlow/23. Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).mp4
90 MB
10. NLP Fundamentals in TensorFlow/23. Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).srt
22 kB
10. NLP Fundamentals in TensorFlow/24. Model 6 Building, training and evaluating a transfer learning model for NLP.mp4
66 MB
10. NLP Fundamentals in TensorFlow/24. Model 6 Building, training and evaluating a transfer learning model for NLP.srt
18 kB
10. NLP Fundamentals in TensorFlow/25. Preparing subsets of data for model 7 (same as model 6 but 10% of data).mp4
62 MB
10. NLP Fundamentals in TensorFlow/25. Preparing subsets of data for model 7 (same as model 6 but 10% of data).srt
17 kB
10. NLP Fundamentals in TensorFlow/26. Model 7 Building, training and evaluating a transfer learning model on 10% data.mp4
70 MB
10. NLP Fundamentals in TensorFlow/26. Model 7 Building, training and evaluating a transfer learning model on 10% data.srt
14 kB
10. NLP Fundamentals in TensorFlow/27. Fixing our data leakage issue with model 7 and retraining it.mp4
121 MB
10. NLP Fundamentals in TensorFlow/27. Fixing our data leakage issue with model 7 and retraining it.srt
16 kB
10. NLP Fundamentals in TensorFlow/28. Comparing all our modelling experiments evaluation metrics.mp4
72 MB
10. NLP Fundamentals in TensorFlow/28. Comparing all our modelling experiments evaluation metrics.srt
20 kB
10. NLP Fundamentals in TensorFlow/29. Uploading our model's training logs to TensorBoard and comparing them.mp4
69 MB
10. NLP Fundamentals in TensorFlow/29. Uploading our model's training logs to TensorBoard and comparing them.srt
17 kB
10. NLP Fundamentals in TensorFlow/3. Example NLP inputs and outputs.mp4
36 MB
10. NLP Fundamentals in TensorFlow/3. Example NLP inputs and outputs.srt
14 kB
10. NLP Fundamentals in TensorFlow/30. Saving and loading in a trained NLP model with TensorFlow.mp4
73 MB
10. NLP Fundamentals in TensorFlow/30. Saving and loading in a trained NLP model with TensorFlow.srt
15 kB
10. NLP Fundamentals in TensorFlow/31. Downloading a pretrained model and preparing data to investigate predictions.mp4
93 MB
10. NLP Fundamentals in TensorFlow/31. Downloading a pretrained model and preparing data to investigate predictions.srt
17 kB
10. NLP Fundamentals in TensorFlow/32. Visualizing our model's most wrong predictions.mp4
55 MB
10. NLP Fundamentals in TensorFlow/32. Visualizing our model's most wrong predictions.srt
13 kB
10. NLP Fundamentals in TensorFlow/33. Making and visualizing predictions on the test dataset.mp4
54 MB
10. NLP Fundamentals in TensorFlow/33. Making and visualizing predictions on the test dataset.srt
13 kB
10. NLP Fundamentals in TensorFlow/34. Understanding the concept of the speedscore tradeoff.mp4
86 MB
10. NLP Fundamentals in TensorFlow/34. Understanding the concept of the speedscore tradeoff.srt
21 kB
10. NLP Fundamentals in TensorFlow/35. NLP Fundamentals in TensorFlow challenge, exercises and extra-curriculum.html
251 kB
10. NLP Fundamentals in TensorFlow/4. The typical architecture of a Recurrent Neural Network (RNN).mp4
87 MB
10. NLP Fundamentals in TensorFlow/4. The typical architecture of a Recurrent Neural Network (RNN).srt
15 kB
10. NLP Fundamentals in TensorFlow/5. Preparing a notebook for our first NLP with TensorFlow project.mp4
56 MB
10. NLP Fundamentals in TensorFlow/5. Preparing a notebook for our first NLP with TensorFlow project.srt
12 kB
10. NLP Fundamentals in TensorFlow/6. Becoming one with the data and visualizing a text dataset.mp4
114 MB
10. NLP Fundamentals in TensorFlow/6. Becoming one with the data and visualizing a text dataset.srt
25 kB
10. NLP Fundamentals in TensorFlow/7. Splitting data into training and validation sets.mp4
40 MB
10. NLP Fundamentals in TensorFlow/7. Splitting data into training and validation sets.srt
8.5 kB
10. NLP Fundamentals in TensorFlow/8. Converting text data to numbers using tokenisation and embeddings (overview).mp4
68 MB
10. NLP Fundamentals in TensorFlow/8. Converting text data to numbers using tokenisation and embeddings (overview).srt
14 kB
10. NLP Fundamentals in TensorFlow/9. Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4
146 MB
10. NLP Fundamentals in TensorFlow/9. Setting up a TensorFlow TextVectorization layer to convert text to numbers.srt
25 kB
11. Milestone Project 2 SkimLit/1. Introduction to Milestone Project 2 SkimLit.mp4
96 MB
11. Milestone Project 2 SkimLit/1. Introduction to Milestone Project 2 SkimLit.srt
25 kB
11. Milestone Project 2 SkimLit/10. Preparing our data for deep sequence models.mp4
60 MB
11. Milestone Project 2 SkimLit/10. Preparing our data for deep sequence models.srt
14 kB
11. Milestone Project 2 SkimLit/11. Creating a text vectoriser to map our tokens (text) to numbers.mp4
95 MB
11. Milestone Project 2 SkimLit/11. Creating a text vectoriser to map our tokens (text) to numbers.srt
21 kB
11. Milestone Project 2 SkimLit/12. Creating a custom token embedding layer with TensorFlow.mp4
71 MB
11. Milestone Project 2 SkimLit/12. Creating a custom token embedding layer with TensorFlow.srt
15 kB
11. Milestone Project 2 SkimLit/13. Creating fast loading dataset with the TensorFlow tf.data API.mp4
59 MB
11. Milestone Project 2 SkimLit/13. Creating fast loading dataset with the TensorFlow tf.data API.srt
15 kB
11. Milestone Project 2 SkimLit/14. Model 1 Building, fitting and evaluating a Conv1D with token embeddings.mp4
118 MB
11. Milestone Project 2 SkimLit/14. Model 1 Building, fitting and evaluating a Conv1D with token embeddings.srt
22 kB
11. Milestone Project 2 SkimLit/15. Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.mp4
94 MB
11. Milestone Project 2 SkimLit/15. Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.srt
17 kB
11. Milestone Project 2 SkimLit/16. Model 2 Building, fitting and evaluating a Conv1D model with token embeddings.mp4
75 MB
11. Milestone Project 2 SkimLit/16. Model 2 Building, fitting and evaluating a Conv1D model with token embeddings.srt
18 kB
11. Milestone Project 2 SkimLit/17. Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4
133 MB
11. Milestone Project 2 SkimLit/17. Creating a character-level tokeniser with TensorFlow's TextVectorization layer.srt
33 kB
11. Milestone Project 2 SkimLit/18. Creating a character-level embedding layer with tf.keras.layers.Embedding.mp4
56 MB
11. Milestone Project 2 SkimLit/18. Creating a character-level embedding layer with tf.keras.layers.Embedding.srt
12 kB
11. Milestone Project 2 SkimLit/19. Model 3 Building, fitting and evaluating a Conv1D model on character embeddings.mp4
93 MB
11. Milestone Project 2 SkimLit/19. Model 3 Building, fitting and evaluating a Conv1D model on character embeddings.srt
22 kB
11. Milestone Project 2 SkimLit/2. What we're going to cover in Milestone Project 2 (NLP for medical abstracts).mp4
56 MB
11. Milestone Project 2 SkimLit/2. What we're going to cover in Milestone Project 2 (NLP for medical abstracts).srt
14 kB
11. Milestone Project 2 SkimLit/20. Discussing how we're going to build Model 4 (character + token embeddings).mp4
42 MB
11. Milestone Project 2 SkimLit/20. Discussing how we're going to build Model 4 (character + token embeddings).srt
9.7 kB
11. Milestone Project 2 SkimLit/21. Model 4 Building a multi-input model (hybrid token + character embeddings).mp4
137 MB
11. Milestone Project 2 SkimLit/21. Model 4 Building a multi-input model (hybrid token + character embeddings).srt
25 kB
11. Milestone Project 2 SkimLit/22. Model 4 Plotting and visually exploring different data inputs.mp4
64 MB
11. Milestone Project 2 SkimLit/22. Model 4 Plotting and visually exploring different data inputs.srt
14 kB
11. Milestone Project 2 SkimLit/23. Crafting multi-input fast loading tf.data datasets for Model 4.mp4
52 MB
11. Milestone Project 2 SkimLit/23. Crafting multi-input fast loading tf.data datasets for Model 4.srt
13 kB
11. Milestone Project 2 SkimLit/24. Model 4 Building, fitting and evaluating a hybrid embedding model.mp4
112 MB
11. Milestone Project 2 SkimLit/24. Model 4 Building, fitting and evaluating a hybrid embedding model.srt
21 kB
11. Milestone Project 2 SkimLit/25. Model 5 Adding positional embeddings via feature engineering (overview).mp4
41 MB
11. Milestone Project 2 SkimLit/25. Model 5 Adding positional embeddings via feature engineering (overview).srt
11 kB
11. Milestone Project 2 SkimLit/26. Encoding the line number feature to used with Model 5.mp4
76 MB
11. Milestone Project 2 SkimLit/26. Encoding the line number feature to used with Model 5.srt
19 kB
11. Milestone Project 2 SkimLit/27. Encoding the total lines feature to be used with Model 5.mp4
45 MB
11. Milestone Project 2 SkimLit/27. Encoding the total lines feature to be used with Model 5.srt
12 kB
11. Milestone Project 2 SkimLit/28. Model 5 Building the foundations of a tribrid embedding model.mp4
56 MB
11. Milestone Project 2 SkimLit/28. Model 5 Building the foundations of a tribrid embedding model.srt
12 kB
11. Milestone Project 2 SkimLit/29. Model 5 Completing the build of a tribrid embedding model for sequences.mp4
115 MB
11. Milestone Project 2 SkimLit/29. Model 5 Completing the build of a tribrid embedding model for sequences.srt
21 kB
11. Milestone Project 2 SkimLit/3. SkimLit inputs and outputs.mp4
45 MB
11. Milestone Project 2 SkimLit/3. SkimLit inputs and outputs.srt
18 kB
11. Milestone Project 2 SkimLit/30. Visually inspecting the architecture of our tribrid embedding model.mp4
86 MB
11. Milestone Project 2 SkimLit/30. Visually inspecting the architecture of our tribrid embedding model.srt
15 kB
11. Milestone Project 2 SkimLit/31. Creating multi-level data input pipelines for Model 5 with the tf.data API.mp4
76 MB
11. Milestone Project 2 SkimLit/31. Creating multi-level data input pipelines for Model 5 with the tf.data API.srt
13 kB
11. Milestone Project 2 SkimLit/32. Bringing SkimLit to life!!! (fitting and evaluating Model 5).mp4
88 MB
11. Milestone Project 2 SkimLit/32. Bringing SkimLit to life!!! (fitting and evaluating Model 5).srt
17 kB
11. Milestone Project 2 SkimLit/33. Comparing the performance of all of our modelling experiments.mp4
50 MB
11. Milestone Project 2 SkimLit/33. Comparing the performance of all of our modelling experiments.srt
14 kB
11. Milestone Project 2 SkimLit/34. Saving, loading & testing our best performing model.mp4
59 MB
11. Milestone Project 2 SkimLit/34. Saving, loading & testing our best performing model.srt
11 kB
11. Milestone Project 2 SkimLit/35. Congratulations and your challenge before heading to the next module.mp4
104 MB
11. Milestone Project 2 SkimLit/35. Congratulations and your challenge before heading to the next module.srt
16 kB
11. Milestone Project 2 SkimLit/36. Milestone Project 2 (SkimLit) challenge, exercises and extra-curriculum.html
285 kB
11. Milestone Project 2 SkimLit/4. Setting up our notebook for Milestone Project 2 (getting the data).mp4
114 MB
11. Milestone Project 2 SkimLit/4. Setting up our notebook for Milestone Project 2 (getting the data).srt
22 kB
11. Milestone Project 2 SkimLit/5. Visualizing examples from the dataset (becoming one with the data).mp4
100 MB
11. Milestone Project 2 SkimLit/5. Visualizing examples from the dataset (becoming one with the data).srt
20 kB
11. Milestone Project 2 SkimLit/6. Writing a preprocessing function to structure our data for modelling.mp4
160 MB
11. Milestone Project 2 SkimLit/6. Writing a preprocessing function to structure our data for modelling.srt
28 kB
11. Milestone Project 2 SkimLit/7. Performing visual data analysis on our preprocessed text.mp4
61 MB
11. Milestone Project 2 SkimLit/7. Performing visual data analysis on our preprocessed text.srt
12 kB
11. Milestone Project 2 SkimLit/8. Turning our target labels into numbers (ML models require numbers).mp4
84 MB
11. Milestone Project 2 SkimLit/8. Turning our target labels into numbers (ML models require numbers).srt
21 kB
11. Milestone Project 2 SkimLit/9. Model 0 Creating, fitting and evaluating a baseline model for SkimLit.mp4
58 MB
11. Milestone Project 2 SkimLit/9. Model 0 Creating, fitting and evaluating a baseline model for SkimLit.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/1. Welcome to time series fundamentals with TensorFlow + Milestone Project 3!.html
286 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/10. Visualizing our Bitcoin historical data with pandas.mp4
28 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/10. Visualizing our Bitcoin historical data with pandas.srt
8.5 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/11. Reading in our Bitcoin data with Python's CSV module.mp4
75 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/11. Reading in our Bitcoin data with Python's CSV module.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/12. Creating train and test splits for time series (the wrong way).mp4
39 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/12. Creating train and test splits for time series (the wrong way).srt
13 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/13. Creating train and test splits for time series (the right way).mp4
30 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/13. Creating train and test splits for time series (the right way).srt
11 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/14. Creating a plotting function to visualize our time series data.mp4
42 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/14. Creating a plotting function to visualize our time series data.srt
13 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/15. Discussing the various modelling experiments were going to be running.mp4
58 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/15. Discussing the various modelling experiments were going to be running.srt
15 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/16. Model 0 Making and visualizing a naive forecast model.mp4
78 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/16. Model 0 Making and visualizing a naive forecast model.srt
20 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/17. Discussing some of the most common time series evaluation metrics.mp4
66 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/17. Discussing some of the most common time series evaluation metrics.srt
19 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/18. Implementing MASE with TensorFlow.en.copy.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/18. Implementing MASE with TensorFlow.mp4
73 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/18. Implementing MASE with TensorFlow.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/19. Creating a function to evaluate our model's forecasts with various metrics.mp4
65 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/19. Creating a function to evaluate our model's forecasts with various metrics.srt
13 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/2. Introduction to Milestone Project 3 (BitPredict) & where you can get help.mp4
28 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/2. Introduction to Milestone Project 3 (BitPredict) & where you can get help.srt
7.3 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/20. Discussing other non-TensorFlow kinds of time series forecasting models.mp4
45 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/20. Discussing other non-TensorFlow kinds of time series forecasting models.srt
8.8 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/21. Formatting data Part 2 Creating a function to label our windowed time series.mp4
71 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/21. Formatting data Part 2 Creating a function to label our windowed time series.srt
20 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/22. Discussing the use of windows and horizons in time series data.mp4
43 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/22. Discussing the use of windows and horizons in time series data.srt
11 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/23. Writing a preprocessing function to turn time series data into windows & labels.mp4
187 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/23. Writing a preprocessing function to turn time series data into windows & labels.srt
37 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/24. Turning our windowed time series data into training and test sets.mp4
64 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/24. Turning our windowed time series data into training and test sets.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/25. Creating a modelling checkpoint callback to save our best performing model.mp4
43 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/25. Creating a modelling checkpoint callback to save our best performing model.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/26. Model 1 Building, compiling and fitting a deep learning model on Bitcoin data.mp4
120 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/26. Model 1 Building, compiling and fitting a deep learning model on Bitcoin data.srt
29 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/27. Creating a function to make predictions with our trained models.mp4
90 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/27. Creating a function to make predictions with our trained models.srt
22 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/28. Model 2 Building, fitting and evaluating a deep model with a larger window size-27.mp4
101 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/28. Model 2 Building, fitting and evaluating a deep model with a larger window size-27.srt
26 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/29. Model 3 Building, fitting and evaluating a model with a larger horizon size.mp4
95 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/29. Model 3 Building, fitting and evaluating a model with a larger horizon size.srt
21 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/3. What is a time series problem and example forecasting problems at Uber.mp4
51 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/3. What is a time series problem and example forecasting problems at Uber.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/30. Adjusting the evaluation function to work for predictions with larger horizons.mp4
72 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/30. Adjusting the evaluation function to work for predictions with larger horizons.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/31. Model 3 Visualizing the results.mp4
59 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/31. Model 3 Visualizing the results.srt
15 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/32. Comparing our modelling experiments so far and discussing autocorrelation.mp4
71 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/32. Comparing our modelling experiments so far and discussing autocorrelation.srt
16 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/33. Preparing data for building a Conv1D model.mp4
74 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/33. Preparing data for building a Conv1D model.srt
21 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/34. Model 4 Building, fitting and evaluating a Conv1D model on our Bitcoin data.mp4
100 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/34. Model 4 Building, fitting and evaluating a Conv1D model on our Bitcoin data.srt
23 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/35. Model 5 Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.mp4
121 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/35. Model 5 Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.srt
25 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/36. Investigating how to turn our univariate time series into multivariate.mp4
79 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/36. Investigating how to turn our univariate time series into multivariate.srt
20 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/37. Creating and plotting a multivariate time series with BTC price and block reward.mp4
69 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/37. Creating and plotting a multivariate time series with BTC price and block reward.srt
16 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/38. Preparing our multivariate time series for a model.mp4
81 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/38. Preparing our multivariate time series for a model.srt
16 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/39. Model 6 Building, fitting and evaluating a multivariate time series model.mp4
54 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/39. Model 6 Building, fitting and evaluating a multivariate time series model.srt
15 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/4. Example forecasting problems in daily life.mp4
20 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/4. Example forecasting problems in daily life.srt
9.4 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/40. Model 7 Discussing what we're going to be doing with the N-BEATS algorithm.mp4
78 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/40. Model 7 Discussing what we're going to be doing with the N-BEATS algorithm.srt
13 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/41. Model 7 Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4
152 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/41. Model 7 Replicating the N-BEATS basic block with TensorFlow layer subclassing.srt
23 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/42. Model 7 Testing our N-BEATS block implementation with dummy data inputs.mp4
129 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/42. Model 7 Testing our N-BEATS block implementation with dummy data inputs.srt
25 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/43. Model 7 Creating a performant data pipeline for the N-BEATS model with tf.data.mp4
90 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/43. Model 7 Creating a performant data pipeline for the N-BEATS model with tf.data.srt
22 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/44. Model 7 Setting up hyperparameters for the N-BEATS algorithm.mp4
73 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/44. Model 7 Setting up hyperparameters for the N-BEATS algorithm.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/45. Model 7 Getting ready for residual connections.mp4
120 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/45. Model 7 Getting ready for residual connections.srt
20 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/46. Model 7 Outlining the steps we're going to take to build the N-BEATS model.mp4
80 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/46. Model 7 Outlining the steps we're going to take to build the N-BEATS model.srt
16 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/47. Model 7 Putting together the pieces of the puzzle of the N-BEATS model.mp4
173 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/47. Model 7 Putting together the pieces of the puzzle of the N-BEATS model.srt
34 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/48. Model 7 Plotting the N-BEATS algorithm we've created and admiring its beauty.mp4
46 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/48. Model 7 Plotting the N-BEATS algorithm we've created and admiring its beauty.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/49. Model 8 Ensemble model overview.mp4
28 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/49. Model 8 Ensemble model overview.srt
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12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/5. What can be forecast.mp4
55 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/5. What can be forecast.srt
15 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/50. Model 8 Building, compiling and fitting an ensemble of models.mp4
122 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/50. Model 8 Building, compiling and fitting an ensemble of models.srt
32 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/51. Model 8 Making and evaluating predictions with our ensemble model.mp4
130 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/51. Model 8 Making and evaluating predictions with our ensemble model.srt
26 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/52. Discussing the importance of prediction intervals in forecasting.mp4
74 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/52. Discussing the importance of prediction intervals in forecasting.srt
18 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/53. Getting the upper and lower bounds of our prediction intervals.mp4
54 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/53. Getting the upper and lower bounds of our prediction intervals.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/54. Plotting the prediction intervals of our ensemble model predictions.mp4
79 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/54. Plotting the prediction intervals of our ensemble model predictions.srt
17 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/55. (Optional) Discussing the types of uncertainty in machine learning.mp4
77 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/55. (Optional) Discussing the types of uncertainty in machine learning.srt
20 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/56. Model 9 Preparing data to create a model capable of predicting into the future.mp4
55 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/56. Model 9 Preparing data to create a model capable of predicting into the future.srt
13 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/57. Model 9 Building, compiling and fitting a future predictions model.mp4
35 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/57. Model 9 Building, compiling and fitting a future predictions model.srt
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12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/58. Model 9 Discussing what's required for our model to make future predictions.mp4
42 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/58. Model 9 Discussing what's required for our model to make future predictions.srt
12 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/59. Model 9 Creating a function to make forecasts into the future.mp4
88 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/59. Model 9 Creating a function to make forecasts into the future.srt
14 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/6. What we're going to cover (broadly).mp4
23 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/6. What we're going to cover (broadly).srt
5.3 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/60. Model 9 Plotting our model's future forecasts.mp4
73 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/60. Model 9 Plotting our model's future forecasts.srt
19 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/61. Model 10 Introducing the turkey problem and making data for it.mp4
61 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/61. Model 10 Introducing the turkey problem and making data for it.srt
22 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/62. Model 10 Building a model to predict on turkey data (why forecasting is BS).mp4
75 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/62. Model 10 Building a model to predict on turkey data (why forecasting is BS).srt
22 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/63. Comparing the results of all of our models and discussing where to go next.mp4
73 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/63. Comparing the results of all of our models and discussing where to go next.srt
21 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/64. TensorFlow Time Series Fundamentals Challenge and Extra Resources.html
348 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/7. Time series forecasting inputs and outputs.mp4
35 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/7. Time series forecasting inputs and outputs.srt
17 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/8. Downloading and inspecting our Bitcoin historical dataset.mp4
116 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/8. Downloading and inspecting our Bitcoin historical dataset.srt
24 kB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/9. Different kinds of time series patterns & different amounts of feature variables.mp4
44 MB
12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/9. Different kinds of time series patterns & different amounts of feature variables.srt
13 kB
13. Where To Go From Here/1. Thank You!.mp4
11 MB
13. Where To Go From Here/1. Thank You!.srt
2.0 kB
13. Where To Go From Here/2. Review This Course!.html
347 kB
13. Where To Go From Here/3. Become An Alumni.html
348 kB
13. Where To Go From Here/4. Learning Guideline.html
349 kB
13. Where To Go From Here/5. ZTM Events Every Month.html
350 kB
13. Where To Go From Here/6. LinkedIn Endorsements.html
353 kB
14. Appendix Machine Learning Primer/1. Quick Note Upcoming Videos.html
352 kB
14. Appendix Machine Learning Primer/10. Section Review.mp4
3.4 MB
14. Appendix Machine Learning Primer/10. Section Review.srt
2.7 kB
14. Appendix Machine Learning Primer/2. What is Machine Learning.mp4
20 MB
14. Appendix Machine Learning Primer/2. What is Machine Learning.srt
10 kB
14. Appendix Machine Learning Primer/3. AIMachine LearningData Science.mp4
15 MB
14. Appendix Machine Learning Primer/3. AIMachine LearningData Science.srt
7.2 kB
14. Appendix Machine Learning Primer/4. Exercise Machine Learning Playground.mp4
23 MB
14. Appendix Machine Learning Primer/4. Exercise Machine Learning Playground.srt
9.3 kB
14. Appendix Machine Learning Primer/5. How Did We Get Here.mp4
26 MB
14. Appendix Machine Learning Primer/5. How Did We Get Here.srt
8.3 kB
14. Appendix Machine Learning Primer/6. Exercise YouTube Recommendation Engine.mp4
11 MB
14. Appendix Machine Learning Primer/6. Exercise YouTube Recommendation Engine.srt
6.4 kB
14. Appendix Machine Learning Primer/7. Types of Machine Learning.mp4
13 MB
14. Appendix Machine Learning Primer/7. Types of Machine Learning.srt
6.4 kB
14. Appendix Machine Learning Primer/8. Are You Getting It Yet.html
358 kB
14. Appendix Machine Learning Primer/9. What Is Machine Learning Round 2.mp4
14 MB
14. Appendix Machine Learning Primer/9. What Is Machine Learning Round 2.srt
7.0 kB
15. Appendix Machine Learning and Data Science Framework/1. Quick Note Upcoming Videos.html
362 kB
15. Appendix Machine Learning and Data Science Framework/10. Modelling - Picking the Model.mp4
13 MB
15. Appendix Machine Learning and Data Science Framework/10. Modelling - Picking the Model.srt
7.4 kB
15. Appendix Machine Learning and Data Science Framework/11. Modelling - Tuning.mp4
6.7 MB
15. Appendix Machine Learning and Data Science Framework/11. Modelling - Tuning.srt
5.7 kB
15. Appendix Machine Learning and Data Science Framework/12. Modelling - Comparison.mp4
26 MB
15. Appendix Machine Learning and Data Science Framework/12. Modelling - Comparison.srt
15 kB
15. Appendix Machine Learning and Data Science Framework/13. Overfitting and Underfitting Definitions.html
374 kB
15. Appendix Machine Learning and Data Science Framework/14. Experimentation.mp4
12 MB
15. Appendix Machine Learning and Data Science Framework/14. Experimentation.srt
5.9 kB
15. Appendix Machine Learning and Data Science Framework/15. Tools We Will Use.mp4
15 MB
15. Appendix Machine Learning and Data Science Framework/15. Tools We Will Use.srt
6.6 kB
15. Appendix Machine Learning and Data Science Framework/16. Optional Elements of AI(document).html
376 kB
15. Appendix Machine Learning and Data Science Framework/2. Section Overview.mp4
7.7 MB
15. Appendix Machine Learning and Data Science Framework/2. Section Overview.srt
5.2 kB
15. Appendix Machine Learning and Data Science Framework/3. Introducing Our Framework.mp4
6.3 MB
15. Appendix Machine Learning and Data Science Framework/3. Introducing Our Framework.srt
4.0 kB
15. Appendix Machine Learning and Data Science Framework/4. 6 Step Machine Learning Framework.mp4
13 MB
15. Appendix Machine Learning and Data Science Framework/4. 6 Step Machine Learning Framework.srt
7.7 kB
15. Appendix Machine Learning and Data Science Framework/5. Types of Machine Learning Problems.mp4
34 MB
15. Appendix Machine Learning and Data Science Framework/5. Types of Machine Learning Problems.srt
16 kB
15. Appendix Machine Learning and Data Science Framework/6. Types of Data.mp4
16 MB
15. Appendix Machine Learning and Data Science Framework/7. Types of Evaluation.mp4
9.6 MB
15. Appendix Machine Learning and Data Science Framework/7. Types of Evaluation.srt
5.2 kB
15. Appendix Machine Learning and Data Science Framework/8. Features In Data.mp4
19 MB
15. Appendix Machine Learning and Data Science Framework/8. Features In Data.srt
7.7 kB
15. Appendix Machine Learning and Data Science Framework/9. Modelling - Splitting Data.mp4
15 MB
15. Appendix Machine Learning and Data Science Framework/9. Modelling - Splitting Data.srt
8.9 kB
16. Appendix Pandas for Data Analysis/1. Quick Note Upcoming Videos.html
376 kB
16. Appendix Pandas for Data Analysis/10. Manipulating Data.mp4
64 MB
16. Appendix Pandas for Data Analysis/10. Manipulating Data.srt
18 kB
16. Appendix Pandas for Data Analysis/11. Manipulating Data 2.mp4
60 MB
16. Appendix Pandas for Data Analysis/11. Manipulating Data 2.srt
17 kB
16. Appendix Pandas for Data Analysis/12. Manipulating Data 3.mp4
60 MB
16. Appendix Pandas for Data Analysis/12. Manipulating Data 3.srt
17 kB
16. Appendix Pandas for Data Analysis/13. Assignment Pandas Practice.html
389 kB
16. Appendix Pandas for Data Analysis/14. How To Download The Course Assignments.mp4
39 MB
16. Appendix Pandas for Data Analysis/14. How To Download The Course Assignments.srt
10 kB
16. Appendix Pandas for Data Analysis/2. Section Overview.mp4
6.1 MB
16. Appendix Pandas for Data Analysis/2. Section Overview.srt
3.8 kB
16. Appendix Pandas for Data Analysis/3. Downloading Workbooks and Assignments.html
379 kB
16. Appendix Pandas for Data Analysis/4. Pandas Introduction.mp4
15 MB
16. Appendix Pandas for Data Analysis/4. Pandas Introduction.srt
7.7 kB
16. Appendix Pandas for Data Analysis/5. Series, Data Frames and CSVs.mp4
58 MB
16. Appendix Pandas for Data Analysis/5. Series, Data Frames and CSVs.srt
21 kB
16. Appendix Pandas for Data Analysis/6. Data from URLs.html
382 kB
16. Appendix Pandas for Data Analysis/7. Describing Data with Pandas.mp4
50 MB
16. Appendix Pandas for Data Analysis/7. Describing Data with Pandas.srt
16 kB
16. Appendix Pandas for Data Analysis/8. Selecting and Viewing Data with Pandas.mp4
44 MB
16. Appendix Pandas for Data Analysis/8. Selecting and Viewing Data with Pandas.srt
16 kB
16. Appendix Pandas for Data Analysis/9. Selecting and Viewing Data with Pandas Part 2.mp4
68 MB
16. Appendix Pandas for Data Analysis/9. Selecting and Viewing Data with Pandas Part 2.srt
22 kB
17. Appendix NumPy/1. Quick Note Upcoming Videos.html
390 kB
17. Appendix NumPy/10. Manipulating Arrays 2.mp4
43 MB
17. Appendix NumPy/10. Manipulating Arrays 2.srt
13 kB
17. Appendix NumPy/11. Standard Deviation and Variance.mp4
31 MB
17. Appendix NumPy/11. Standard Deviation and Variance.srt
11 kB
17. Appendix NumPy/12. Reshape and Transpose.mp4
34 MB
17. Appendix NumPy/12. Reshape and Transpose.srt
10 kB
17. Appendix NumPy/13. Dot Product vs Element Wise.mp4
51 MB
17. Appendix NumPy/13. Dot Product vs Element Wise.srt
18 kB
17. Appendix NumPy/14. Exercise Nut Butter Store Sales.mp4
59 MB
17. Appendix NumPy/14. Exercise Nut Butter Store Sales.srt
21 kB
17. Appendix NumPy/15. Comparison Operators.mp4
19 MB
17. Appendix NumPy/15. Comparison Operators.srt
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17. Appendix NumPy/16. Sorting Arrays.mp4
19 MB
17. Appendix NumPy/16. Sorting Arrays.srt
11 kB
17. Appendix NumPy/17. Turn Images Into NumPy Arrays.mp4
56 MB
17. Appendix NumPy/17. Turn Images Into NumPy Arrays.srt
12 kB
17. Appendix NumPy/18. Assignment NumPy Practice.html
407 kB
17. Appendix NumPy/19. Optional Extra NumPy resources.html
406 kB
17. Appendix NumPy/2. Section Overview.mp4
11 MB
17. Appendix NumPy/2. Section Overview.srt
3.8 kB
17. Appendix NumPy/3. NumPy Introduction.mp4
12 MB
17. Appendix NumPy/3. NumPy Introduction.srt
8.4 kB
17. Appendix NumPy/4. Quick Note Correction In Next Video.html
394 kB
17. Appendix NumPy/5. NumPy DataTypes and Attributes.mp4
48 MB
17. Appendix NumPy/5. NumPy DataTypes and Attributes.srt
19 kB
17. Appendix NumPy/6. Creating NumPy Arrays.mp4
40 MB
17. Appendix NumPy/6. Creating NumPy Arrays.srt
12 kB
17. Appendix NumPy/7. NumPy Random Seed.mp4
32 MB
17. Appendix NumPy/7. NumPy Random Seed.srt
11 kB
17. Appendix NumPy/8. Viewing Arrays and Matrices.mp4
46 MB
17. Appendix NumPy/8. Viewing Arrays and Matrices.srt
16 kB
17. Appendix NumPy/9. Manipulating Arrays.mp4
52 MB
17. Appendix NumPy/9. Manipulating Arrays.srt
19 kB
2. Deep Learning and TensorFlow Fundamentals/1. What is deep learning.mp4
18 MB
2. Deep Learning and TensorFlow Fundamentals/1. What is deep learning.srt
7.6 kB
2. Deep Learning and TensorFlow Fundamentals/10. Creating your first tensors with TensorFlow and tf.constant().mp4
74 MB
2. Deep Learning and TensorFlow Fundamentals/10. Creating your first tensors with TensorFlow and tf.constant().srt
28 kB
2. Deep Learning and TensorFlow Fundamentals/11. Creating tensors with TensorFlow and tf.Variable().mp4
47 MB
2. Deep Learning and TensorFlow Fundamentals/11. Creating tensors with TensorFlow and tf.Variable().srt
12 kB
2. Deep Learning and TensorFlow Fundamentals/12. Creating random tensors with TensorFlow.mp4
59 MB
2. Deep Learning and TensorFlow Fundamentals/12. Creating random tensors with TensorFlow.srt
14 kB
2. Deep Learning and TensorFlow Fundamentals/13. Shuffling the order of tensors.mp4
58 MB
2. Deep Learning and TensorFlow Fundamentals/13. Shuffling the order of tensors.srt
14 kB
2. Deep Learning and TensorFlow Fundamentals/14. Creating tensors from NumPy arrays.mp4
65 MB
2. Deep Learning and TensorFlow Fundamentals/14. Creating tensors from NumPy arrays.srt
16 kB
2. Deep Learning and TensorFlow Fundamentals/15. Getting information from your tensors (tensor attributes).mp4
55 MB
2. Deep Learning and TensorFlow Fundamentals/15. Getting information from your tensors (tensor attributes).srt
19 kB
2. Deep Learning and TensorFlow Fundamentals/16. Indexing and expanding tensors.mp4
56 MB
2. Deep Learning and TensorFlow Fundamentals/16. Indexing and expanding tensors.srt
20 kB
2. Deep Learning and TensorFlow Fundamentals/17. Manipulating tensors with basic operations.mp4
28 MB
2. Deep Learning and TensorFlow Fundamentals/17. Manipulating tensors with basic operations.srt
7.5 kB
2. Deep Learning and TensorFlow Fundamentals/18. Matrix multiplication with tensors part 1.mp4
66 MB
2. Deep Learning and TensorFlow Fundamentals/18. Matrix multiplication with tensors part 1.srt
17 kB
2. Deep Learning and TensorFlow Fundamentals/19. Matrix multiplication with tensors part 2.mp4
65 MB
2. Deep Learning and TensorFlow Fundamentals/19. Matrix multiplication with tensors part 2.srt
19 kB
2. Deep Learning and TensorFlow Fundamentals/2. Why use deep learning.mp4
40 MB
2. Deep Learning and TensorFlow Fundamentals/2. Why use deep learning.srt
16 kB
2. Deep Learning and TensorFlow Fundamentals/20. Matrix multiplication with tensors part 3.mp4
50 MB
2. Deep Learning and TensorFlow Fundamentals/20. Matrix multiplication with tensors part 3.srt
14 kB
2. Deep Learning and TensorFlow Fundamentals/21. Changing the datatype of tensors.mp4
46 MB
2. Deep Learning and TensorFlow Fundamentals/21. Changing the datatype of tensors.srt
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2. Deep Learning and TensorFlow Fundamentals/22. Tensor aggregation (finding the min, max, mean & more).mp4
60 MB
2. Deep Learning and TensorFlow Fundamentals/22. Tensor aggregation (finding the min, max, mean & more).srt
11 kB
2. Deep Learning and TensorFlow Fundamentals/23. Tensor troubleshooting example (updating tensor datatypes).mp4
45 MB
2. Deep Learning and TensorFlow Fundamentals/23. Tensor troubleshooting example (updating tensor datatypes).srt
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2. Deep Learning and TensorFlow Fundamentals/24. Finding the positional minimum and maximum of a tensor (argmin and argmax).mp4
64 MB
2. Deep Learning and TensorFlow Fundamentals/24. Finding the positional minimum and maximum of a tensor (argmin and argmax).srt
14 kB
2. Deep Learning and TensorFlow Fundamentals/25. Squeezing a tensor (removing all 1-dimension axes).mp4
20 MB
2. Deep Learning and TensorFlow Fundamentals/25. Squeezing a tensor (removing all 1-dimension axes).srt
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2. Deep Learning and TensorFlow Fundamentals/26. One-hot encoding tensors.mp4
40 MB
2. Deep Learning and TensorFlow Fundamentals/26. One-hot encoding tensors.srt
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2. Deep Learning and TensorFlow Fundamentals/27. Trying out more tensor math operations.mp4
40 MB
2. Deep Learning and TensorFlow Fundamentals/27. Trying out more tensor math operations.srt
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2. Deep Learning and TensorFlow Fundamentals/28. Exploring TensorFlow and NumPy's compatibility.mp4
31 MB
2. Deep Learning and TensorFlow Fundamentals/28. Exploring TensorFlow and NumPy's compatibility.srt
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2. Deep Learning and TensorFlow Fundamentals/29. Making sure our tensor operations run really fast on GPUs.mp4
78 MB
2. Deep Learning and TensorFlow Fundamentals/29. Making sure our tensor operations run really fast on GPUs.srt
17 kB
2. Deep Learning and TensorFlow Fundamentals/3. What are neural networks.mp4
35 MB
2. Deep Learning and TensorFlow Fundamentals/3. What are neural networks.srt
16 kB
2. Deep Learning and TensorFlow Fundamentals/30. TensorFlow Fundamentals challenge, exercises & extra-curriculum.html
38 kB
2. Deep Learning and TensorFlow Fundamentals/31. Let's Have Some Fun (+ Free Resources).html
37 kB
2. Deep Learning and TensorFlow Fundamentals/4. What is deep learning already being used for.mp4
48 MB
2. Deep Learning and TensorFlow Fundamentals/4. What is deep learning already being used for.srt
15 kB
2. Deep Learning and TensorFlow Fundamentals/5. What is and why use TensorFlow.mp4
44 MB
2. Deep Learning and TensorFlow Fundamentals/5. What is and why use TensorFlow.srt
14 kB
2. Deep Learning and TensorFlow Fundamentals/6. What is a Tensor.mp4
17 MB
2. Deep Learning and TensorFlow Fundamentals/6. What is a Tensor.srt
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2. Deep Learning and TensorFlow Fundamentals/7. What we're going to cover throughout the course.mp4
17 MB
2. Deep Learning and TensorFlow Fundamentals/7. What we're going to cover throughout the course.srt
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2. Deep Learning and TensorFlow Fundamentals/8. How to approach this course.mp4
14 MB
2. Deep Learning and TensorFlow Fundamentals/8. How to approach this course.srt
9.3 kB
2. Deep Learning and TensorFlow Fundamentals/9. Need A Refresher.html
17 kB
3. Neural network regression with TensorFlow/1. Introduction to Neural Network Regression with TensorFlow.mp4
36 MB
3. Neural network regression with TensorFlow/1. Introduction to Neural Network Regression with TensorFlow.srt
13 kB
3. Neural network regression with TensorFlow/10. Steps in improving a model with TensorFlow part 3.mp4
92 MB
3. Neural network regression with TensorFlow/10. Steps in improving a model with TensorFlow part 3.srt
19 kB
3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 1 (visualise, visualise, visualise).mp4
45 MB
3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 1 (visualise, visualise, visualise).srt
11 kB
3. Neural network regression with TensorFlow/12. Evaluating a TensorFlow model part 2 (the three datasets).mp4
54 MB
3. Neural network regression with TensorFlow/12. Evaluating a TensorFlow model part 2 (the three datasets).srt
13 kB
3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 3 (getting a model summary).mp4
142 MB
3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 3 (getting a model summary).srt
25 kB
3. Neural network regression with TensorFlow/14. Evaluating a TensorFlow model part 4 (visualising a model's layers).mp4
52 MB
3. Neural network regression with TensorFlow/14. Evaluating a TensorFlow model part 4 (visualising a model's layers).srt
11 kB
3. Neural network regression with TensorFlow/15. Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp4
57 MB
3. Neural network regression with TensorFlow/15. Evaluating a TensorFlow model part 5 (visualising a model's predictions).srt
13 kB
3. Neural network regression with TensorFlow/16. Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp4
44 MB
3. Neural network regression with TensorFlow/16. Evaluating a TensorFlow model part 6 (common regression evaluation metrics).srt
12 kB
3. Neural network regression with TensorFlow/17. Evaluating a TensorFlow regression model part 7 (mean absolute error).mp4
38 MB
3. Neural network regression with TensorFlow/17. Evaluating a TensorFlow regression model part 7 (mean absolute error).srt
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3. Neural network regression with TensorFlow/18. Evaluating a TensorFlow regression model part 7 (mean square error).mp4
20 MB
3. Neural network regression with TensorFlow/18. Evaluating a TensorFlow regression model part 7 (mean square error).srt
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3. Neural network regression with TensorFlow/19. Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4
86 MB
3. Neural network regression with TensorFlow/19. Setting up TensorFlow modelling experiments part 1 (start with a simple model).srt
19 kB
3. Neural network regression with TensorFlow/2. Inputs and outputs of a neural network regression model.mp4
39 MB
3. Neural network regression with TensorFlow/2. Inputs and outputs of a neural network regression model.srt
13 kB
3. Neural network regression with TensorFlow/20. Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp4
68 MB
3. Neural network regression with TensorFlow/20. Setting up TensorFlow modelling experiments part 2 (increasing complexity).srt
18 kB
3. Neural network regression with TensorFlow/21. Comparing and tracking your TensorFlow modelling experiments.mp4
69 MB
3. Neural network regression with TensorFlow/21. Comparing and tracking your TensorFlow modelling experiments.srt
15 kB
3. Neural network regression with TensorFlow/22. How to save a TensorFlow model.mp4
70 MB
3. Neural network regression with TensorFlow/22. How to save a TensorFlow model.srt
13 kB
3. Neural network regression with TensorFlow/23. How to load and use a saved TensorFlow model.mp4
70 MB
3. Neural network regression with TensorFlow/23. How to load and use a saved TensorFlow model.srt
14 kB
3. Neural network regression with TensorFlow/24. (Optional) How to save and download files from Google Colab.mp4
50 MB
3. Neural network regression with TensorFlow/24. (Optional) How to save and download files from Google Colab.srt
9.0 kB
3. Neural network regression with TensorFlow/25. Putting together what we've learned part 1 (preparing a dataset).mp4
95 MB
3. Neural network regression with TensorFlow/25. Putting together what we've learned part 1 (preparing a dataset).srt
21 kB
3. Neural network regression with TensorFlow/26. Putting together what we've learned part 2 (building a regression model).mp4
82 MB
3. Neural network regression with TensorFlow/26. Putting together what we've learned part 2 (building a regression model).srt
21 kB
3. Neural network regression with TensorFlow/27. Putting together what we've learned part 3 (improving our regression model).mp4
118 MB
3. Neural network regression with TensorFlow/27. Putting together what we've learned part 3 (improving our regression model).srt
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3. Neural network regression with TensorFlow/28. Preprocessing data with feature scaling part 1 (what is feature scaling).mp4
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3. Neural network regression with TensorFlow/28. Preprocessing data with feature scaling part 1 (what is feature scaling).srt
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3. Neural network regression with TensorFlow/29. Preprocessing data with feature scaling part 2 (normalising our data).mp4
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3. Neural network regression with TensorFlow/29. Preprocessing data with feature scaling part 2 (normalising our data).srt
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3. Neural network regression with TensorFlow/3. Anatomy and architecture of a neural network regression model.mp4
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3. Neural network regression with TensorFlow/3. Anatomy and architecture of a neural network regression model.srt
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3. Neural network regression with TensorFlow/30. Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp4
58 MB
3. Neural network regression with TensorFlow/30. Preprocessing data with feature scaling part 3 (fitting a model on scaled data).srt
12 kB
3. Neural network regression with TensorFlow/31. TensorFlow Regression challenge, exercises & extra-curriculum.html
69 kB
3. Neural network regression with TensorFlow/32. Unlimited Updates.html
68 kB
3. Neural network regression with TensorFlow/4. Creating sample regression data (so we can model it).mp4
60 MB
3. Neural network regression with TensorFlow/4. Creating sample regression data (so we can model it).srt
18 kB
3. Neural network regression with TensorFlow/5. Note Code update for upcoming lecture(s) for TensorFlow 2.7.0+ fix.html
44 kB
3. Neural network regression with TensorFlow/6. Endorsements On LinkedIn.html
44 kB
3. Neural network regression with TensorFlow/7. The major steps in modelling with TensorFlow.mp4
120 MB
3. Neural network regression with TensorFlow/7. The major steps in modelling with TensorFlow.srt
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3. Neural network regression with TensorFlow/8. Steps in improving a model with TensorFlow part 1.mp4
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3. Neural network regression with TensorFlow/8. Steps in improving a model with TensorFlow part 1.srt
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3. Neural network regression with TensorFlow/9. Steps in improving a model with TensorFlow part 2.mp4
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3. Neural network regression with TensorFlow/9. Steps in improving a model with TensorFlow part 2.srt
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4. Neural network classification in TensorFlow/1. Introduction to neural network classification in TensorFlow.mp4
54 MB
4. Neural network classification in TensorFlow/1. Introduction to neural network classification in TensorFlow.srt
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4. Neural network classification in TensorFlow/10. Note Updates for TensorFlow 2.7.0.html
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4. Neural network classification in TensorFlow/11. Make our poor classification model work for a regression dataset.mp4
93 MB
4. Neural network classification in TensorFlow/11. Make our poor classification model work for a regression dataset.srt
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4. Neural network classification in TensorFlow/12. Non-linearity part 1 Straight lines and non-straight lines.mp4
61 MB
4. Neural network classification in TensorFlow/12. Non-linearity part 1 Straight lines and non-straight lines.srt
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4. Neural network classification in TensorFlow/13. Non-linearity part 2 Building our first neural network with non-linearity.mp4
36 MB
4. Neural network classification in TensorFlow/13. Non-linearity part 2 Building our first neural network with non-linearity.srt
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4. Neural network classification in TensorFlow/14. Non-linearity part 3 Upgrading our non-linear model with more layers.mp4
94 MB
4. Neural network classification in TensorFlow/14. Non-linearity part 3 Upgrading our non-linear model with more layers.srt
16 kB
4. Neural network classification in TensorFlow/15. Non-linearity part 4 Modelling our non-linear data once and for all.mp4
64 MB
4. Neural network classification in TensorFlow/15. Non-linearity part 4 Modelling our non-linear data once and for all.srt
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4. Neural network classification in TensorFlow/16. Non-linearity part 5 Replicating non-linear activation functions from scratch.mp4
101 MB
4. Neural network classification in TensorFlow/16. Non-linearity part 5 Replicating non-linear activation functions from scratch.srt
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4. Neural network classification in TensorFlow/17. Getting great results in less time by tweaking the learning rate.mp4
104 MB
4. Neural network classification in TensorFlow/17. Getting great results in less time by tweaking the learning rate.srt
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4. Neural network classification in TensorFlow/18. Using the TensorFlow History object to plot a model's loss curves.mp4
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4. Neural network classification in TensorFlow/18. Using the TensorFlow History object to plot a model's loss curves.srt
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4. Neural network classification in TensorFlow/19. Using callbacks to find a model's ideal learning rate.mp4
121 MB
4. Neural network classification in TensorFlow/19. Using callbacks to find a model's ideal learning rate.srt
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4. Neural network classification in TensorFlow/2. Example classification problems (and their inputs and outputs).mp4
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4. Neural network classification in TensorFlow/2. Example classification problems (and their inputs and outputs).srt
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4. Neural network classification in TensorFlow/20. Training and evaluating a model with an ideal learning rate.mp4
64 MB
4. Neural network classification in TensorFlow/20. Training and evaluating a model with an ideal learning rate.srt
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4. Neural network classification in TensorFlow/21. Introducing more classification evaluation methods.mp4
28 MB
4. Neural network classification in TensorFlow/21. Introducing more classification evaluation methods.srt
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4. Neural network classification in TensorFlow/22. Finding the accuracy of our classification model.mp4
22 MB
4. Neural network classification in TensorFlow/22. Finding the accuracy of our classification model.srt
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4. Neural network classification in TensorFlow/23. Creating our first confusion matrix (to see where our model is getting confused).mp4
40 MB
4. Neural network classification in TensorFlow/23. Creating our first confusion matrix (to see where our model is getting confused).srt
13 kB
4. Neural network classification in TensorFlow/24. Making our confusion matrix prettier.mp4
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4. Neural network classification in TensorFlow/24. Making our confusion matrix prettier.srt
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4. Neural network classification in TensorFlow/25. Putting things together with multi-class classification part 1 Getting the data.mp4
60 MB
4. Neural network classification in TensorFlow/25. Putting things together with multi-class classification part 1 Getting the data.srt
14 kB
4. Neural network classification in TensorFlow/26. Multi-class classification part 2 Becoming one with the data.mp4
28 MB
4. Neural network classification in TensorFlow/26. Multi-class classification part 2 Becoming one with the data.srt
9.8 kB
4. Neural network classification in TensorFlow/27. Multi-class classification part 3 Building a multi-class classification model.mp4
96 MB
4. Neural network classification in TensorFlow/27. Multi-class classification part 3 Building a multi-class classification model.srt
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4. Neural network classification in TensorFlow/28. Multi-class classification part 4 Improving performance with normalisation.mp4
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4. Neural network classification in TensorFlow/28. Multi-class classification part 4 Improving performance with normalisation.srt
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4. Neural network classification in TensorFlow/29. Multi-class classification part 5 Comparing normalised and non-normalised data.mp4
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4. Neural network classification in TensorFlow/29. Multi-class classification part 5 Comparing normalised and non-normalised data.srt
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4. Neural network classification in TensorFlow/3. Input and output tensors of classification problems.mp4
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4. Neural network classification in TensorFlow/3. Input and output tensors of classification problems.srt
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4. Neural network classification in TensorFlow/30. Multi-class classification part 6 Finding the ideal learning rate.mp4
49 MB
4. Neural network classification in TensorFlow/30. Multi-class classification part 6 Finding the ideal learning rate.srt
17 kB
4. Neural network classification in TensorFlow/31. Multi-class classification part 7 Evaluating our model.mp4
84 MB
4. Neural network classification in TensorFlow/31. Multi-class classification part 7 Evaluating our model.srt
19 kB
4. Neural network classification in TensorFlow/32. Multi-class classification part 8 Creating a confusion matrix.mp4
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4. Neural network classification in TensorFlow/32. Multi-class classification part 8 Creating a confusion matrix.srt
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4. Neural network classification in TensorFlow/33. Multi-class classification part 9 Visualising random model predictions.mp4
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4. Neural network classification in TensorFlow/33. Multi-class classification part 9 Visualising random model predictions.srt
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4. Neural network classification in TensorFlow/34. What patterns is our model learning.mp4
89 MB
4. Neural network classification in TensorFlow/34. What patterns is our model learning.srt
24 kB
4. Neural network classification in TensorFlow/35. TensorFlow classification challenge, exercises & extra-curriculum.html
104 kB
4. Neural network classification in TensorFlow/36. Course Check-In.html
102 kB
4. Neural network classification in TensorFlow/4. Typical architecture of neural network classification models with TensorFlow.mp4
73 MB
4. Neural network classification in TensorFlow/4. Typical architecture of neural network classification models with TensorFlow.srt
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4. Neural network classification in TensorFlow/5. Creating and viewing classification data to model.mp4
66 MB
4. Neural network classification in TensorFlow/5. Creating and viewing classification data to model.srt
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4. Neural network classification in TensorFlow/6. Checking the input and output shapes of our classification data.mp4
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4. Neural network classification in TensorFlow/6. Checking the input and output shapes of our classification data.srt
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4. Neural network classification in TensorFlow/7. Building a not very good classification model with TensorFlow.mp4
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4. Neural network classification in TensorFlow/7. Building a not very good classification model with TensorFlow.srt
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4. Neural network classification in TensorFlow/8. Trying to improve our not very good classification model.mp4
63 MB
4. Neural network classification in TensorFlow/8. Trying to improve our not very good classification model.srt
14 kB
4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.mp4
120 MB
4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.srt
22 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/1. Introduction to Computer Vision with TensorFlow.mp4
48 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/1. Introduction to Computer Vision with TensorFlow.srt
16 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/10. Improving our non-CNN model by adding more layers.mp4
79 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/10. Improving our non-CNN model by adding more layers.srt
17 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/11. Breaking our CNN model down part 1 Becoming one with the data.mp4
61 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/11. Breaking our CNN model down part 1 Becoming one with the data.srt
12 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/12. Breaking our CNN model down part 2 Preparing to load our data.mp4
73 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/12. Breaking our CNN model down part 2 Preparing to load our data.srt
18 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/13. Breaking our CNN model down part 3 Loading our data with ImageDataGenerator.mp4
77 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/13. Breaking our CNN model down part 3 Loading our data with ImageDataGenerator.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/14. Breaking our CNN model down part 4 Building a baseline CNN model.mp4
55 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/14. Breaking our CNN model down part 4 Building a baseline CNN model.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4
126 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/16. Breaking our CNN model down part 6 Compiling and fitting our baseline CNN.mp4
52 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/16. Breaking our CNN model down part 6 Compiling and fitting our baseline CNN.srt
11 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/17. Breaking our CNN model down part 7 Evaluating our CNN's training curves.mp4
66 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/17. Breaking our CNN model down part 7 Evaluating our CNN's training curves.srt
20 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.mp4
90 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/18. Breaking our CNN model down part 8 Reducing overfitting with Max Pooling.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/19. Breaking our CNN model down part 9 Reducing overfitting with data augmentation.mp4
44 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/19. Breaking our CNN model down part 9 Reducing overfitting with data augmentation.srt
10 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/2. Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp4
49 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/2. Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.srt
14 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.mp4
104 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.srt
25 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/21. Breaking our CNN model down part 11 Training a CNN model on augmented data.mp4
67 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/21. Breaking our CNN model down part 11 Training a CNN model on augmented data.srt
15 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/22. Breaking our CNN model down part 12 Discovering the power of shuffling data.mp4
77 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/22. Breaking our CNN model down part 12 Discovering the power of shuffling data.srt
16 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/23. Breaking our CNN model down part 13 Exploring options to improve our model.mp4
34 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/23. Breaking our CNN model down part 13 Exploring options to improve our model.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/24. Downloading a custom image to make predictions on.mp4
37 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/24. Downloading a custom image to make predictions on.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/25. Writing a helper function to load and preprocessing custom images.mp4
77 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/25. Writing a helper function to load and preprocessing custom images.srt
14 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/26. Making a prediction on a custom image with our trained CNN.mp4
67 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/26. Making a prediction on a custom image with our trained CNN.srt
18 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.mp4
103 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.srt
26 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/28. Multi-class CNN's part 2 Preparing our data (turning it into tensors).mp4
49 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/28. Multi-class CNN's part 2 Preparing our data (turning it into tensors).srt
11 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/29. Multi-class CNN's part 3 Building a multi-class CNN model.mp4
64 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/29. Multi-class CNN's part 3 Building a multi-class CNN model.srt
13 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/3. Downloading an image dataset for our first Food Vision model.mp4
50 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/3. Downloading an image dataset for our first Food Vision model.srt
12 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/30. Multi-class CNN's part 4 Fitting a multi-class CNN model to the data.mp4
42 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/30. Multi-class CNN's part 4 Fitting a multi-class CNN model to the data.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/31. Multi-class CNN's part 5 Evaluating our multi-class CNN model.mp4
27 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/31. Multi-class CNN's part 5 Evaluating our multi-class CNN model.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/32. Multi-class CNN's part 6 Trying to fix overfitting by removing layers.mp4
92 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/32. Multi-class CNN's part 6 Trying to fix overfitting by removing layers.srt
19 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/33. Multi-class CNN's part 7 Trying to fix overfitting with data augmentation.mp4
86 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/33. Multi-class CNN's part 7 Trying to fix overfitting with data augmentation.srt
19 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/34. Multi-class CNN's part 8 Things you could do to improve your CNN model.mp4
30 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/34. Multi-class CNN's part 8 Things you could do to improve your CNN model.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/35. Multi-class CNN's part 9 Making predictions with our model on custom images.mp4
90 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/35. Multi-class CNN's part 9 Making predictions with our model on custom images.srt
13 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/36. Saving and loading our trained CNN model.mp4
54 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/36. Saving and loading our trained CNN model.srt
11 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/37. TensorFlow computer vision and CNNs challenge, exercises & extra-curriculum.html
140 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/38. Implement a New Life System.html
139 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/4. Becoming One With Data.mp4
31 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/4. Becoming One With Data.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/5. Becoming One With Data Part 2.mp4
63 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/5. Becoming One With Data Part 2.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/6. Becoming One With Data Part 3.mp4
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/6. Becoming One With Data Part 3.srt
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5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.mp4
98 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.srt
25 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/8. Using a GPU to run our CNN model 5x faster.mp4
94 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/8. Using a GPU to run our CNN model 5x faster.srt
14 kB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/9. Trying a non-CNN model on our image data.mp4
72 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/9. Trying a non-CNN model on our image data.srt
14 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/1. What is and why use transfer learning.mp4
37 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/1. What is and why use transfer learning.srt
18 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.mp4
97 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.srt
24 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/11. TensorFlow Transfer Learning Part 1 challenge, exercises & extra-curriculum.html
152 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/2. Downloading and preparing data for our first transfer learning model.mp4
89 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/2. Downloading and preparing data for our first transfer learning model.srt
21 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/3. Introducing Callbacks in TensorFlow and making a callback to track our models.mp4
66 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/3. Introducing Callbacks in TensorFlow and making a callback to track our models.srt
16 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/4. Exploring the TensorFlow Hub website for pretrained models.mp4
65 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/4. Exploring the TensorFlow Hub website for pretrained models.srt
16 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/5. Building and compiling a TensorFlow Hub feature extraction model.mp4
87 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/5. Building and compiling a TensorFlow Hub feature extraction model.srt
22 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/6. Blowing our previous models out of the water with transfer learning.mp4
68 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/6. Blowing our previous models out of the water with transfer learning.srt
15 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/7. Plotting the loss curves of our ResNet feature extraction model.mp4
41 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/7. Plotting the loss curves of our ResNet feature extraction model.srt
12 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/8. Building and training a pre-trained EfficientNet model on our data.mp4
73 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/8. Building and training a pre-trained EfficientNet model on our data.srt
15 kB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/9. Different Types of Transfer Learning.mp4
82 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/9. Different Types of Transfer Learning.srt
17 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/1. Introduction to Transfer Learning in TensorFlow Part 2 Fine-tuning.mp4
43 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/1. Introduction to Transfer Learning in TensorFlow Part 2 Fine-tuning.srt
11 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Getting a feature vector from our trained model.mp4
125 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Getting a feature vector from our trained model.srt
20 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/11. Drilling into the concept of a feature vector (a learned representation).mp4
41 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/11. Drilling into the concept of a feature vector (a learned representation).srt
6.0 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/12. Downloading and preparing the data for Model 1 (1 percent of training data).mp4
66 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/12. Downloading and preparing the data for Model 1 (1 percent of training data).srt
15 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building a data augmentation layer to use inside our model.mp4
82 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building a data augmentation layer to use inside our model.srt
19 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/14. Note Small fix for next video, for images not augmenting.html
165 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/15. Visualizing what happens when images pass through our data augmentation layer.mp4
71 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/15. Visualizing what happens when images pass through our data augmentation layer.srt
17 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Building Model 1 (with a data augmentation layer and 1% of training data).mp4
105 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Building Model 1 (with a data augmentation layer and 1% of training data).srt
25 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Building Model 2 (with a data augmentation layer and 10% of training data).mp4
104 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Building Model 2 (with a data augmentation layer and 10% of training data).srt
27 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Creating a ModelCheckpoint to save our model's weights during training.mp4
47 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Creating a ModelCheckpoint to save our model's weights during training.srt
10 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/19. Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).mp4
49 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/19. Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).srt
11 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/2. Importing a script full of helper functions (and saving lots of space).mp4
69 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/2. Importing a script full of helper functions (and saving lots of space).srt
9.5 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/20. Loading and comparing saved weights to our existing trained Model 2.mp4
38 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/20. Loading and comparing saved weights to our existing trained Model 2.srt
11 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Preparing Model 3 (our first fine-tuned model).mp4
145 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Preparing Model 3 (our first fine-tuned model).srt
29 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/22. Fitting and evaluating Model 3 (our first fine-tuned model).mp4
46 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/22. Fitting and evaluating Model 3 (our first fine-tuned model).srt
11 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/23. Comparing our model's results before and after fine-tuning.mp4
54 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/23. Comparing our model's results before and after fine-tuning.srt
13 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/24. Downloading and preparing data for our biggest experiment yet (Model 4).mp4
37 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/24. Downloading and preparing data for our biggest experiment yet (Model 4).srt
11 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/25. Preparing our final modelling experiment (Model 4).mp4
67 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/25. Preparing our final modelling experiment (Model 4).srt
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7. Transfer Learning in TensorFlow Part 2 Fine tuning/26. Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4
65 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/26. Fine-tuning Model 4 on 100% of the training data and evaluating its results.srt
17 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/27. Comparing our modelling experiment results in TensorBoard.mp4
63 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/27. Comparing our modelling experiment results in TensorBoard.srt
18 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/28. How to view and delete previous TensorBoard experiments.mp4
15 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/28. How to view and delete previous TensorBoard experiments.srt
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7. Transfer Learning in TensorFlow Part 2 Fine tuning/29. Transfer Learning in TensorFlow Part 2 challenge, exercises and extra-curriculum.html
180 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Exercise Imposter Syndrome.mp4
20 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Exercise Imposter Syndrome.srt
4.8 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Downloading and turning our images into a TensorFlow BatchDataset.mp4
126 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Downloading and turning our images into a TensorFlow BatchDataset.srt
26 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/5. Discussing the four (actually five) modelling experiments we're running.mp4
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7. Transfer Learning in TensorFlow Part 2 Fine tuning/5. Discussing the four (actually five) modelling experiments we're running.srt
3.9 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/6. Comparing the TensorFlow Keras Sequential API versus the Functional API.mp4
18 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/6. Comparing the TensorFlow Keras Sequential API versus the Functional API.srt
4.5 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/7. Note Fixes for EfficientNetB0 model creation + weight loading.html
158 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Creating our first model with the TensorFlow Keras Functional API.mp4
103 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Creating our first model with the TensorFlow Keras Functional API.srt
18 kB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Compiling and fitting our first Functional API model.mp4
119 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Compiling and fitting our first Functional API model.srt
19 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/1. Introduction to Transfer Learning Part 3 Scaling Up.mp4
23 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/1. Introduction to Transfer Learning Part 3 Scaling Up.srt
12 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/10. Downloading a pretrained model to make and evaluate predictions with.mp4
68 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/10. Downloading a pretrained model to make and evaluate predictions with.srt
10 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/11. Making predictions with our trained model on 25,250 test samples.mp4
91 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/11. Making predictions with our trained model on 25,250 test samples.srt
18 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/12. Unravelling our test dataset for comparing ground truth labels to predictions.mp4
28 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/12. Unravelling our test dataset for comparing ground truth labels to predictions.srt
8.3 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/13. Confirming our model's predictions are in the same order as the test labels.mp4
33 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/13. Confirming our model's predictions are in the same order as the test labels.srt
7.6 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.mp4
114 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.srt
20 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/15. Evaluating every individual class in our dataset.mp4
92 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/15. Evaluating every individual class in our dataset.srt
21 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/16. Plotting our model's F1-scores for each separate class.mp4
56 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/16. Plotting our model's F1-scores for each separate class.srt
12 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/17. Creating a function to load and prepare images for making predictions.mp4
70 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/17. Creating a function to load and prepare images for making predictions.srt
19 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.mp4
113 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.srt
28 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/19. Discussing the benefits of finding your model's most wrong predictions.mp4
34 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/19. Discussing the benefits of finding your model's most wrong predictions.srt
11 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/2. Getting helper functions ready and downloading data to model.mp4
91 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/2. Getting helper functions ready and downloading data to model.srt
20 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/20. Writing code to uncover our model's most wrong predictions.mp4
77 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/20. Writing code to uncover our model's most wrong predictions.srt
20 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/21. Plotting and visualizing the samples our model got most wrong.mp4
85 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/21. Plotting and visualizing the samples our model got most wrong.srt
16 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/22. Making predictions on and plotting our own custom images.mp4
70 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/22. Making predictions on and plotting our own custom images.srt
17 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/23. Transfer Learning in TensorFlow Part 3 challenge, exercises and extra-curriculum.html
202 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/3. Outlining the model we're going to build and building a ModelCheckpoint callback.mp4
26 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/3. Outlining the model we're going to build and building a ModelCheckpoint callback.srt
8.7 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/4. Creating a data augmentation layer to use with our model.mp4
26 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/4. Creating a data augmentation layer to use with our model.srt
7.2 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/5. Creating a headless EfficientNetB0 model with data augmentation built in.mp4
53 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/5. Creating a headless EfficientNetB0 model with data augmentation built in.srt
16 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/6. Fitting and evaluating our biggest transfer learning model yet.mp4
46 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/6. Fitting and evaluating our biggest transfer learning model yet.srt
13 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/7. Unfreezing some layers in our base model to prepare for fine-tuning.mp4
66 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/7. Unfreezing some layers in our base model to prepare for fine-tuning.srt
19 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/8. Fine-tuning our feature extraction model and evaluating its performance.mp4
44 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/8. Fine-tuning our feature extraction model and evaluating its performance.srt
14 kB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/9. Saving and loading our trained model.mp4
43 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/9. Saving and loading our trained model.srt
10 kB
9. Milestone Project 1 Food Vision Big™/1. Introduction to Milestone Project 1 Food Vision Big™.mp4
26 MB
9. Milestone Project 1 Food Vision Big™/1. Introduction to Milestone Project 1 Food Vision Big™.srt
11 kB
9. Milestone Project 1 Food Vision Big™/10. Note Mixed Precision producing errors for TensorFlow 2.5+.html
211 kB
9. Milestone Project 1 Food Vision Big™/11. Turning on mixed precision training with TensorFlow.mp4
84 MB
9. Milestone Project 1 Food Vision Big™/11. Turning on mixed precision training with TensorFlow.srt
16 kB
9. Milestone Project 1 Food Vision Big™/12. Creating a feature extraction model capable of using mixed precision training.mp4
72 MB
9. Milestone Project 1 Food Vision Big™/12. Creating a feature extraction model capable of using mixed precision training.srt
20 kB
9. Milestone Project 1 Food Vision Big™/13. Checking to see if our model is using mixed precision training layer by layer.mp4
74 MB
9. Milestone Project 1 Food Vision Big™/13. Checking to see if our model is using mixed precision training layer by layer.srt
12 kB
9. Milestone Project 1 Food Vision Big™/14. Training and evaluating a feature extraction model (Food Vision Big™).mp4
60 MB
9. Milestone Project 1 Food Vision Big™/14. Training and evaluating a feature extraction model (Food Vision Big™).srt
15 kB
9. Milestone Project 1 Food Vision Big™/15. Introducing your Milestone Project 1 challenge build a model to beat DeepFood.mp4
77 MB
9. Milestone Project 1 Food Vision Big™/15. Introducing your Milestone Project 1 challenge build a model to beat DeepFood.srt
13 kB
9. Milestone Project 1 Food Vision Big™/16. Milestone Project 1 Food Vision Big™, exercises and extra-curriculum.html
217 kB
9. Milestone Project 1 Food Vision Big™/2. Making sure we have access to the right GPU for mixed precision training.mp4
61 MB
9. Milestone Project 1 Food Vision Big™/2. Making sure we have access to the right GPU for mixed precision training.srt
16 kB
9. Milestone Project 1 Food Vision Big™/3. Getting helper functions ready.mp4
22 MB
9. Milestone Project 1 Food Vision Big™/3. Getting helper functions ready.srt
4.6 kB
9. Milestone Project 1 Food Vision Big™/4. Introduction to TensorFlow Datasets (TFDS).mp4
82 MB
9. Milestone Project 1 Food Vision Big™/4. Introduction to TensorFlow Datasets (TFDS).srt
20 kB
9. Milestone Project 1 Food Vision Big™/5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4
74 MB
9. Milestone Project 1 Food Vision Big™/5. Exploring and becoming one with the data (Food101 from TensorFlow Datasets).srt
26 kB
9. Milestone Project 1 Food Vision Big™/6. Creating a preprocessing function to prepare our data for modelling.mp4
87 MB
9. Milestone Project 1 Food Vision Big™/6. Creating a preprocessing function to prepare our data for modelling.srt
21 kB
9. Milestone Project 1 Food Vision Big™/7. Batching and preparing our datasets (to make them run fast).mp4
95 MB
9. Milestone Project 1 Food Vision Big™/7. Batching and preparing our datasets (to make them run fast).srt
18 kB
9. Milestone Project 1 Food Vision Big™/8. Exploring what happens when we batch and prefetch our data.mp4
41 MB
9. Milestone Project 1 Food Vision Big™/8. Exploring what happens when we batch and prefetch our data.srt
11 kB
9. Milestone Project 1 Food Vision Big™/9. Creating modelling callbacks for our feature extraction model.mp4
40 MB
9. Milestone Project 1 Food Vision Big™/9. Creating modelling callbacks for our feature extraction model.srt
12 kB