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| [TGx]Downloaded from torrentgalaxy.org.txt |
524B |
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1.51KB |
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| 02. What are Jupyter notebooks.html |
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| 02. What can you do with GANs.html |
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| 02. Why Anaconda-VXukXZv7SCQ.ar.vtt |
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| 12. Outro LSTM.html |
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| 17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt |
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| 17. Backpropagation Through Time (part a).html |
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| 17. CNNs for Image Classification.html |
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| 17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt |
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| 17. CNNs For Image Classification-l9vg_1YUlzg.mp4 |
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| 17. CNNs For Image Classification-l9vg_1YUlzg.zh-CN.vtt |
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| 17. Conclusion-wOiUQDgGD9E.en.vtt |
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| 17. Conclusion-wOiUQDgGD9E.mp4 |
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| 17. Doing More With Your GAN.html |
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| 17. MDPs, Part 3.html |
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| 17. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt |
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| 17. Mini Project 5.html |
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| 17. Mini Project MC (Part 3).html |
6.89KB |
| 17. Multiple Linear Regression.html |
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| 17. One-Hot Encoding.html |
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| 17. One-Hot Encoding-AePvjhyvsBo.mp4 |
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| 17. Outro.html |
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| 17. Policy Iteration.html |
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| 17. Policy Iteration-gqv7o1kBDc0.en.vtt |
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| 17. Policy Iteration-gqv7o1kBDc0.mp4 |
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| 17. Policy Iteration-gqv7o1kBDc0.zh-CN.vtt |
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| 17. Solution Diagnosing Cancer.html |
9.78KB |
| 17. Summary.html |
9.79KB |
| 18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt |
4.40KB |
| 18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 |
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| 18. Backpropagation Through Time (part b).html |
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| 18. Closed Form Solution.html |
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| 18. CNNs in Keras Practical Example.html |
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| 18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4 |
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| 18. Finite MDPs.html |
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| 18. Images-1GdiN5Wc8LA.mp4 |
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| 18. Implementation.html |
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| 18. Maximum Likelihood.html |
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| 18. MC Control Constant-alpha, Part 1.html |
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| 18. Mini Project 5 Solution.html |
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| 18. Refresh on ROC Curves.html |
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| 18. ROC Curve-2Iw5TiGzJI4.en.vtt |
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| 18. ROC Curve-2Iw5TiGzJI4.mp4 |
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| 19. (Optional) Closed form Solution Math.html |
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| 19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt |
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| 19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt |
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| 19. Backpropagation Through Time (part c).html |
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| 19. Further Noise Reduction.html |
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| 19. Maximizing Probabilities.html |
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| 19. MC Control Constant-alpha, Part 2.html |
14.80KB |
| 19. Mini Project CNNs in Keras.html |
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| 19. Mini Project DP (Part 4).html |
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| 19.png |
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| 19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
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| 19. Quiz ROC Curve.html |
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| 19. Summary.html |
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| 20. BPTT Quiz 1.html |
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| 20. Cross-Entropy 1.html |
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| 20. Image Augmentation in Keras.html |
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| 20. Image Augmentation in Keras-odStujZq3GY.en.vtt |
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| 20. Image Augmentation in Keras-odStujZq3GY.mp4 |
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| 20. Image Augmentation in Keras-odStujZq3GY.pt-BR.vtt |
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| 20. Image Augmentation in Keras-odStujZq3GY.zh-CN.vtt |
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| 20. Implementation.html |
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| 20. Linear Regression Warnings.html |
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| 20. Mini Project 6.html |
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| 20. Solution ROC Curve.html |
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| 20. Solution ROC Curve-sdUUf6RRmXI.en.vtt |
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| 20. Solution ROC Curve-sdUUf6RRmXI.mp4 |
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| 20. Truncated Policy Iteration.html |
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| 20. Truncated Policy Iteration-a-RvCxlPMho.mp4 |
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| 21. BPTT Quiz 2.html |
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| 21. Comparing our Results with Doctors.html |
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| 21. Cross-Entropy 2.html |
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| 21. CrossEntropy V1-1BnhC6e0TFw.en.vtt |
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| 21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
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| 21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
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| 21. Implementation.html |
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| 21. Mini Project 6 Solution.html |
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| 21. Mini Project 6 Solution-ji0famK7gOQ.mp4 |
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| 21. Mini Project Image Augmentation in Keras.html |
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| 21. Mini Project MC (Part 4).html |
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| 21.png |
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| 21. Polynomial Regression.html |
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| 21. ROC Curve-fWwe_JlpnlQ.en.vtt |
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| 22. Analysis What's Going on in the Weights.html |
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| 22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 |
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| 22. BPTT Quiz 3.html |
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| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt |
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| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 |
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| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt |
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| 22. Groundbreaking CNN Architectures.html |
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| 22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4 |
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| 22. Groundbreaking CNN Architectures-ddrB-mhMfkY.zh-CN.vtt |
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| 22. Mini Project DP (Part 5).html |
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| 22. Multi-Class Cross Entropy.html |
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| 22. Regularization.html |
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| 22. Regularization-PyFNIcsNma0.en.vtt |
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| 22. Regularization-PyFNIcsNma0.mp4 |
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| 22. Regularization-PyFNIcsNma0.pt-BR.vtt |
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| 22. Summary.html |
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| 22. Visualization.html |
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| 22. Visualization-aGIGB4Ta3_A.en.vtt |
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| 22. Visualization-aGIGB4Ta3_A.mp4 |
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| 23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt |
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| 23. Conclusion.html |
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| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt |
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| 23. Error Function-V5kkHldUlVU.en.vtt |
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| 23. Logistic Regression.html |
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| 23. Neural Network Regression.html |
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| 23. Some more math.html |
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| 23. Visualizing CNNs (Part 1).html |
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| 23. What is the network looking at.html |
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| 24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt |
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| 24. Gradient Descent.html |
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| 24. Implementation.html |
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| 24. Neural Networks Playground.html |
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| 24. Refresh on Confusion Matrices.html |
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| 24. RNN Summary.html |
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| 24. Visualizing CNNs (Part 2).html |
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| 25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt |
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| 25. Conclusion-pyeojf0NniQ.en.vtt |
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| 25. From RNN to LSTM.html |
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| 25. Logistic Regression Algorithm.html |
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| 25. Mini Project DP (Part 6).html |
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| 25. Outro.html |
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| 26. Check Your Understanding.html |
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| 26. Conclusion.html |
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| 26. Pre-Lab Gradient Descent.html |
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| 26. Wrap Up.html |
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| 27. Notebook Gradient Descent.html |
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| 27. Summary.html |
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| 27. Useful Resources.html |
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| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt |
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| 28. Mini Project Introduction.html |
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| plyr.css |
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| plyr.polyfilled.min.js |
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| points.png |
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| Presented By SaM.txt |
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| Project Description - Dog Breed Classifier.html |
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| Project Description - Generate Faces.html |
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| Project Description - Generate TV Scripts.html |
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| Project Description - Teach a Quadcopter How to Fly.html |
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| Project Description - Your first neural network.html |
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| Project Rubric - Dog Breed Classifier.html |
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| Project Rubric - Generate Faces.html |
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| Project Rubric - Generate TV Scripts.html |
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| Project Rubric - Teach a Quadcopter How to Fly.html |
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| Project Rubric - Your first neural network.html |
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| pup.jpg |
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