Udemy Generative AI with Python Core Concepts and Coding Exam
Seeders : 1 Leechers : 58
| Torrent Hash : | 6BF8E89F501993977E6FE623F97C6666BF144375 |
| Torrent Added : | at Sept. 25, 2025, 11:34 p.m. in Other |
| Torrent Size : | 3.3 GB |
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Udemy Generative AI with Python Core Concepts and Coding Exam
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Please Update (Trackers Info) Before Start " Udemy Generative AI with Python Core Concepts and Coding Exam" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Udemy Generative AI with Python Core Concepts and Coding Exam
Get Bonus Downloads Here.url -
1 - Introduction.mp4 -
2 - GenAI-AI Introduction.mp4 -
3 - Generative modeling.mp4 -
4 - Our First Generative Model.mp4 -
5 - Representative learning.mp4 -
6 - Core Probability Theory.mp4 -
7 - Basics of the Coding Environment.mp4 -
8 - Git clone & Dockers.mp4 -
9 - Setting up the IDE.mp4 -
1 - Artificial Neural Networks.mp4 -
2 - 11.txt -
2 - Multilayer Perceptron (MLP).mp4 -
3 - 12.txt -
3 - Convolutional Neural Networks.mp4 -
1 - 13.txt -
1 - Autoencoders.mp4 -
10 - 22.txt -
10 - Energy-based Models.mp4 -
11 - 23.txt -
11 - Diffusion Models.mp4 -
12 - 24.txt -
12 - Project-1 MiniGPT.mp4 -
13 - Project-2 Images Generation.mp4 -
14 - Project-3 Realistic Images Generation.mp4 -
2 - 14.txt -
2 - Variational Autoencoders.mp4 -
3 - 15.txt -
3 - Generative Adversarial Networks 1 of 2.mp4 -
4 - 16.txt -
4 - Generative Adversarial Networks 2 of 2.mp4 -
5 - 17.txt -
5 - Conditional GAN.mp4 -
6 - 18.txt -
6 - Autoregressive Models LSTM.mp4 -
7 - 19.txt -
7 - RNN Extentions PixelCNN.mp4 -
8 - Normalizing Flow Models-1.mp4 -
9 - 21.txt -
9 - Normalizing Flow Models-2.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
180 bytes
1 - Introduction.mp4 -
36.8 MB
2 - GenAI-AI Introduction.mp4 -
52.7 MB
3 - Generative modeling.mp4 -
43.8 MB
4 - Our First Generative Model.mp4 -
64.5 MB
5 - Representative learning.mp4 -
65.9 MB
6 - Core Probability Theory.mp4 -
33.2 MB
7 - Basics of the Coding Environment.mp4 -
34.4 MB
8 - Git clone & Dockers.mp4 -
67.8 MB
9 - Setting up the IDE.mp4 -
96.3 MB
1 - Artificial Neural Networks.mp4 -
94.4 MB
2 - 11.txt -
2.0 KB
2 - Multilayer Perceptron (MLP).mp4 -
262.6 MB
3 - 12.txt -
2.3 KB
3 - Convolutional Neural Networks.mp4 -
211.3 MB
1 - 13.txt -
5.4 KB
1 - Autoencoders.mp4 -
243.0 MB
10 - 22.txt -
6.6 KB
10 - Energy-based Models.mp4 -
197.2 MB
11 - 23.txt -
5.5 KB
11 - Diffusion Models.mp4 -
285.1 MB
12 - 24.txt -
4.4 KB
12 - Project-1 MiniGPT.mp4 -
234.3 MB
13 - Project-2 Images Generation.mp4 -
98.2 MB
14 - Project-3 Realistic Images Generation.mp4 -
90.6 MB
2 - 14.txt -
8.4 KB
2 - Variational Autoencoders.mp4 -
124.5 MB
3 - 15.txt -
10.4 KB
3 - Generative Adversarial Networks 1 of 2.mp4 -
234.1 MB
4 - 16.txt -
5.6 KB
4 - Generative Adversarial Networks 2 of 2.mp4 -
251.0 MB
5 - 17.txt -
6.6 KB
5 - Conditional GAN.mp4 -
81.2 MB
6 - 18.txt -
3.2 KB
6 - Autoregressive Models LSTM.mp4 -
192.1 MB
7 - 19.txt -
1.9 KB
7 - RNN Extentions PixelCNN.mp4 -
99.0 MB
8 - Normalizing Flow Models-1.mp4 -
101.6 MB
9 - 21.txt -
4.2 KB
9 - Normalizing Flow Models-2.mp4 -
115.7 MB
Bonus Resources.txt -
70 bytes
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