Udemy Python neural networks from scratch Build them step by step
Seeders : 0 Leechers : 8
| Torrent Hash : | 871C386365706CA346C3DD367A667491A05BE62E |
| Torrent Added : | at Oct. 24, 2023, 1:49 a.m. in Other |
| Torrent Size : | 807.1 MB |
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Udemy Python neural networks from scratch Build them step by step
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Udemy Python neural networks from scratch Build them step by step
Get Bonus Downloads Here.url -
001 What can you expect from this course.mp4 -
001 What can you expect from this course_en.srt -
002 Who are you and what do you need.mp4 -
002 Who are you and what do you need_en.srt -
001 What is a neural network.mp4 -
001 What is a neural network_en.srt -
001 Linear Regression.mp4 -
001 Linear Regression_en.srt -
002 Cost functions.mp4 -
002 Cost functions_en.srt -
003 Bias.mp4 -
003 Bias_en.srt -
001 Real Data.mp4 -
001 Real Data_en.srt -
002 Second Input.mp4 -
002 Second Input_en.srt -
003 Normalise Data.mp4 -
003 Normalise Data_en.srt -
external-assets-links.txt -
001 Gradient Descent.mp4 -
001 Gradient Descent_en.srt -
002 Classification Introduction.mp4 -
002 Classification Introduction_en.srt -
003 Activation.mp4 -
003 Activation_en.srt -
001 Softmax.mp4 -
001 Softmax_en.srt -
002 Non Linear Data.mp4 -
002 Non Linear Data_en.srt -
external-assets-links.txt -
001 Adding Hidden Layers.mp4 -
001 Adding Hidden Layers_en.srt -
002 Recap.mp4 -
002 Recap_en.srt -
003 Random Weights.mp4 -
003 Random Weights_en.srt -
001 Mini Batch Gradient Descent.mp4 -
001 Mini Batch Gradient Descent_en.srt -
002 Recognizing Handwritten Digits.html -
003 Conclusion.mp4 -
003 Conclusion_en.srt -
external-assets-links.txt -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
182 bytes
001 What can you expect from this course.mp4 -
18.7 MB
001 What can you expect from this course_en.srt -
9.6 KB
002 Who are you and what do you need.mp4 -
7.8 MB
002 Who are you and what do you need_en.srt -
4.1 KB
001 What is a neural network.mp4 -
10.2 MB
001 What is a neural network_en.srt -
4.4 KB
001 Linear Regression.mp4 -
48.1 MB
001 Linear Regression_en.srt -
14.0 KB
002 Cost functions.mp4 -
52.0 MB
002 Cost functions_en.srt -
15.1 KB
003 Bias.mp4 -
54.3 MB
003 Bias_en.srt -
8.9 KB
001 Real Data.mp4 -
34.9 MB
001 Real Data_en.srt -
6.0 KB
002 Second Input.mp4 -
63.5 MB
002 Second Input_en.srt -
10.0 KB
003 Normalise Data.mp4 -
29.2 MB
003 Normalise Data_en.srt -
5.5 KB
external-assets-links.txt -
472 bytes
001 Gradient Descent.mp4 -
47.9 MB
001 Gradient Descent_en.srt -
11.3 KB
002 Classification Introduction.mp4 -
10.2 MB
002 Classification Introduction_en.srt -
5.7 KB
003 Activation.mp4 -
59.1 MB
003 Activation_en.srt -
9.5 KB
001 Softmax.mp4 -
95.7 MB
001 Softmax_en.srt -
21.4 KB
002 Non Linear Data.mp4 -
27.2 MB
002 Non Linear Data_en.srt -
3.7 KB
external-assets-links.txt -
446 bytes
001 Adding Hidden Layers.mp4 -
135.3 MB
001 Adding Hidden Layers_en.srt -
17.6 KB
002 Recap.mp4 -
10.3 MB
002 Recap_en.srt -
3.2 KB
003 Random Weights.mp4 -
39.3 MB
003 Random Weights_en.srt -
5.5 KB
001 Mini Batch Gradient Descent.mp4 -
52.6 MB
001 Mini Batch Gradient Descent_en.srt -
8.2 KB
002 Recognizing Handwritten Digits.html -
0 bytes
003 Conclusion.mp4 -
10.5 MB
003 Conclusion_en.srt -
3.0 KB
external-assets-links.txt -
105 bytes
Bonus Resources.txt -
386 bytes
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