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desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_202008
- Date: 2026-07-09
- Size: 7.9 GB
- Files: 534
File Name
Size
DesireCourse.Net-Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence.torrent
99 kB
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3.9 MB
DesireCourse.Net-Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence_torrent.txt
41 kB
.____padding_file/1
4.0 MB
[CourseClub.Me].url
48 B
.____padding_file/2
4.0 MB
[DesireCourse.Net].url
51 B
.____padding_file/3
4.0 MB
__ia_thumb.jpg
4.1 kB
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4.0 MB
desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_202008_meta.sqlite
11 kB
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4.0 MB
desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_202008_meta.xml
850 B
.____padding_file/6
4.0 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
32 MB
.____padding_file/7
3.5 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.srt
7.9 kB
.____padding_file/8
4.0 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
47 MB
.____padding_file/9
1.3 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.srt
12 kB
.____padding_file/10
4.0 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
56 MB
.____padding_file/11
3.5 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.srt
12 kB
.____padding_file/12
4.0 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
92 MB
.____padding_file/13
3.8 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.srt
23 kB
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4.0 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
47 MB
.____padding_file/15
1.1 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.srt
11 kB
.____padding_file/16
4.0 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
81 MB
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3.1 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.srt
16 kB
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4.0 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4
56 MB
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3.8 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).srt
16 kB
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4.0 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
58 MB
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1.6 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.srt
9.9 kB
.____padding_file/22
4.0 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4
84 MB
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4. Feedforward Artificial Neural Networks/9. ANN for Regression.srt
13 kB
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4.0 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp4
32 MB
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441 kB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).srt
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4.0 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
124 MB
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3.5 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.srt
20 kB
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4.0 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4
42 MB
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1.6 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).srt
11 kB
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4.0 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4
51 MB
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1.2 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.srt
11 kB
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4.0 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4
50 MB
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1.9 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.srt
8.5 kB
.____padding_file/34
4.0 MB
13. Advanced Tensorflow Usage/6. Using the TPU.html
1.8 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4
38 MB
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2.2 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt
8.6 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4
38 MB
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2.4 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt
7.4 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61 MB
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2.7 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt
18 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
56 MB
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295 kB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt
16 kB
.____padding_file/43
4.0 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4
49 MB
.____padding_file/44
2.8 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt
13 kB
.____padding_file/45
4.0 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4
38 MB
.____padding_file/46
2.5 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt
7.6 kB
.____padding_file/47
4.0 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
98 MB
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2.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt
26 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4
43 MB
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1.0 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt
11 kB
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4.0 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4
49 MB
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3.0 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt
13 kB
.____padding_file/53
4.0 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4
21 MB
.____padding_file/54
3.1 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.srt
6.3 kB
.____padding_file/55
4.0 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4
43 MB
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727 kB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt
12 kB
.____padding_file/57
4.0 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4
30 MB
.____padding_file/58
1.6 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.srt
8.9 kB
.____padding_file/59
4.0 MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
39 MB
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993 kB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
13 kB
.____padding_file/61
4.0 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
52 MB
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3.5 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
15 kB
.____padding_file/63
4.0 MB
1. Welcome/1. Introduction.mp4
39 MB
.____padding_file/64
856 kB
1. Welcome/1. Introduction.srt
5.7 kB
.____padding_file/65
4.0 MB
1. Welcome/2. Outline.mp4
74 MB
.____padding_file/66
2.3 MB
1. Welcome/2. Outline.srt
17 kB
.____padding_file/67
4.0 MB
1. Welcome/3. Where to get the code.mp4
30 MB
.____padding_file/68
2.5 MB
1. Welcome/3. Where to get the code.srt
7.8 kB
.____padding_file/69
4.0 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55 MB
.____padding_file/70
860 kB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.srt
11 kB
.____padding_file/71
4.0 MB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4
32 MB
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453 kB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt
7.3 kB
.____padding_file/73
4.0 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4
37 MB
.____padding_file/74
3.4 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.srt
8.8 kB
.____padding_file/75
4.0 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4
21 MB
.____padding_file/76
3.4 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.srt
6.0 kB
.____padding_file/77
4.0 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
67 MB
.____padding_file/78
1.4 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).srt
14 kB
.____padding_file/79
4.0 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4
46 MB
.____padding_file/80
1.9 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).srt
10 kB
.____padding_file/81
4.0 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65 MB
.____padding_file/82
2.8 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.srt
14 kB
.____padding_file/83
4.0 MB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4
51 MB
.____padding_file/84
873 kB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.srt
9.5 kB
.____padding_file/85
4.0 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89 MB
.____padding_file/86
2.9 MB
2. Google Colab/3. Uploading your own data to Google Colab.srt
12 kB
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4.0 MB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
44 MB
.____padding_file/88
156 kB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt
12 kB
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4.0 MB
2. Google Colab/[CourseClub.Me].url
48 B
.____padding_file/90
4.0 MB
2. Google Colab/[DesireCourse.Net].url
51 B
.____padding_file/91
4.0 MB
19. Extra Help With Python Coding for Beginners/1. How to Code Yourself (part 1).mp4
82 MB
.____padding_file/92
1.9 MB
19. Extra Help With Python Coding for Beginners/1. How to Code Yourself (part 1).srt
22 kB
.____padding_file/93
4.0 MB
19. Extra Help With Python Coding for Beginners/2. How to Code Yourself (part 2).mp4
56 MB
.____padding_file/94
3.6 MB
19. Extra Help With Python Coding for Beginners/2. How to Code Yourself (part 2).srt
13 kB
.____padding_file/95
4.0 MB
19. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
.____padding_file/96
2.1 MB
19. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.srt
14 kB
.____padding_file/97
4.0 MB
19. Extra Help With Python Coding for Beginners/4. Is Theano Dead.mp4
44 MB
.____padding_file/98
3.6 MB
19. Extra Help With Python Coding for Beginners/4. Is Theano Dead.srt
13 kB
.____padding_file/99
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
103 MB
.____padding_file/100
823 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.srt
24 kB
.____padding_file/101
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4
50 MB
.____padding_file/102
1.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).srt
14 kB
.____padding_file/103
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
78 MB
.____padding_file/104
2.3 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.srt
9.6 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
143 MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.srt
23 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4
32 MB
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503 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).srt
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6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4
28 MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).srt
4.2 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
80 MB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).srt
16 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4
38 MB
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1.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).srt
6.5 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
77 MB
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3.2 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).srt
14 kB
.____padding_file/117
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast.mp4
28 MB
.____padding_file/118
3.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast.srt
7.2 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
47 MB
.____padding_file/120
1.3 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.srt
13 kB
.____padding_file/121
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
88 MB
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322 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.srt
14 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4
18 MB
.____padding_file/124
1.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.srt
4.6 kB
.____padding_file/125
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
92 MB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.srt
26 kB
.____padding_file/127
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4
20 MB
.____padding_file/128
3.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.srt
7.1 kB
.____padding_file/129
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4
87 MB
.____padding_file/130
787 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.srt
11 kB
.____padding_file/131
4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4
64 MB
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3.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.srt
9.9 kB
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4.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
76 MB
.____padding_file/134
3.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).srt
76 MB
.____padding_file/135
3.9 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
69 MB
.____padding_file/136
3.3 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.srt
17 kB
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4.0 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
59 MB
.____padding_file/138
1.2 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.srt
12 kB
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4.0 MB
8. Recommender Systems/[CourseClub.Me].url
48 B
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4.0 MB
8. Recommender Systems/[DesireCourse.Net].url
51 B
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4.0 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167 MB
.____padding_file/142
1.3 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
15 kB
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4.0 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4
194 MB
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2.0 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt
20 kB
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4.0 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167 MB
.____padding_file/146
716 kB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt
32 kB
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4.0 MB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4
37 MB
.____padding_file/148
2.7 MB
15. In-Depth Loss Functions/1. Mean Squared Error.srt
11 kB
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4.0 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
24 MB
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15. In-Depth Loss Functions/2. Binary Cross Entropy.srt
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4.0 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
35 MB
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574 kB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt
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4.0 MB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
58 MB
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2.0 MB
7. Natural Language Processing (NLP)/1. Embeddings.srt
16 kB
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4.0 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
63 MB
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1.1 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).srt
17 kB
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4.0 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
36 MB
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3.9 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.srt
6.2 kB
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4.0 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
61 MB
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3.4 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.srt
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4.0 MB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4
40 MB
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3.6 MB
7. Natural Language Processing (NLP)/5. CNNs for Text.srt
10 kB
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7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4
46 MB
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1.6 MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.srt
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5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
80 MB
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133 kB
5. Convolutional Neural Networks/1. What is Convolution (part 1).srt
20 kB
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5. Convolutional Neural Networks/10. Batch Normalization.mp4
24 MB
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557 kB
5. Convolutional Neural Networks/10. Batch Normalization.srt
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4.0 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86 MB
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1.6 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.srt
13 kB
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5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
25 MB
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2.8 MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).srt
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5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
28 MB
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5. Convolutional Neural Networks/3. What is Convolution (part 3).srt
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5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77 MB
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3.0 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.srt
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5. Convolutional Neural Networks/5. CNN Architecture.mp4
91 MB
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1.1 MB
5. Convolutional Neural Networks/5. CNN Architecture.srt
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5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
86 MB
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1.7 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.srt
20 kB
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5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4
52 MB
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349 kB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.srt
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5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4
35 MB
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1.2 MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.srt
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5. Convolutional Neural Networks/9. Data Augmentation.mp4
39 MB
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5. Convolutional Neural Networks/9. Data Augmentation.srt
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21. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4
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21. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.srt
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3. Machine Learning and Neurons/1. What is Machine Learning.mp4
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3. Machine Learning and Neurons/7. The Neuron.mp4
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3. Machine Learning and Neurons/8. How does a model learn.mp4
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12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp4
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14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4
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14. Low-Level Tensorflow/[CourseClub.Me].url
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20. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4
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