CourseClub NET Coursera Introduction to Deep Learning |
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Total Size |
1.4 GB |
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Total Files |
81 |
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Last Seen |
2025-05-27 23:46 |
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Hash |
70E9796992BCBB00F65F3672AE86EB335593F36E |
/001.Specialization Promo/ |
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14.3 MB |
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4.8 KB |
/002.Course intro/ |
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23.2 MB |
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9.0 KB |
/003.Linear model as the simplest neural network/ |
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37.5 MB |
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13.7 KB |
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44.7 MB |
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16.8 KB |
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19.9 MB |
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7.6 KB |
/004.Regularization in machine learning/ |
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27.7 MB |
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10.0 KB |
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20.8 MB |
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7.6 KB |
/005.Stochastic methods for optimization/ |
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22.1 MB |
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8.0 KB |
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38.3 MB |
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13.7 KB |
/006.The simplest neural network MLP/ |
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46.8 MB |
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19.0 KB |
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27.9 MB |
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10.2 KB |
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33.2 MB |
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11.6 KB |
/007.Matrix derivatives/ |
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49.4 MB |
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17.0 KB |
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22.5 MB |
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8.8 KB |
/008.TensorFlow framework/ |
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41.4 MB |
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15.0 KB |
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38.6 MB |
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14.2 KB |
/009.Philosophy of deep learning/ |
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30.9 MB |
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14.2 KB |
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25.8 MB |
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12.2 KB |
/010.Introduction to CNN/ |
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43.4 MB |
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16.4 KB |
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44.6 MB |
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13.6 KB |
/011.Modern CNNs/ |
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60.7 MB |
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18.6 KB |
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33.8 MB |
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9.7 KB |
/012.Applications of CNNs/ |
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20.2 MB |
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7.0 KB |
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32.2 MB |
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11.0 KB |
/013.Intro to Unsupervised Learning/ |
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24.9 MB |
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9.8 KB |
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23.2 MB |
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8.3 KB |
/014.More Autoencoders/ |
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42.8 MB |
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15.1 KB |
028. Autoencoder applications image generation, data visualization & more.mp4 |
29.6 MB |
028. Autoencoder applications image generation, data visualization & more.srt |
10.9 KB |
/015.Word Embeddings/ |
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38.5 MB |
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15.7 KB |
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50.7 MB |
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20.7 KB |
/016.Generative Adversarial Networks/ |
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28.0 MB |
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11.5 KB |
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37.9 MB |
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15.7 KB |
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43.9 MB |
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16.3 KB |
/017.Introduction to RNN/ |
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31.6 MB |
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10.8 KB |
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36.8 MB |
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12.8 KB |
/018.Modern RNNs/ |
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27.7 MB |
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10.6 KB |
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36.6 MB |
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14.0 KB |
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50.0 MB |
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17.6 KB |
/019.Applications of RNNs/ |
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58.8 MB |
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19.9 KB |
/ |
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0.1 KB |
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0.1 KB |
Total files 81 |
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