Udemy - Unsupervised Deep Learning in Python - TUTSEM
File List
| File | Size |
|---|---|
| Torrent downloaded from bt-scene.cc.txt | 275 B |
| Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt | 59 B |
| Tutsem.com.lnk | 2.72 KB |
| TUTSEM.COM.txt | 317 B |
| 01 Introduction and Outline/001 Introduction and Outline.mp4 | 3.27 MB |
| 01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 | 5.18 MB |
| 01 Introduction and Outline/003 How to Succeed in this Course.mp4 | 9.52 MB |
| 02 Principal Components Analysis/004 What does PCA do.mp4 | 11.49 MB |
| 02 Principal Components Analysis/005 PCA derivation.mp4 | 6.66 MB |
| 02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 | 9.38 MB |
| 02 Principal Components Analysis/007 PCA objective function.mp4 | 3.68 MB |
| 03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 | 7.9 MB |
| 03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 | 15.1 MB |
| 03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 | 9.31 MB |
| 03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 | 4.34 MB |
| 04 Autoencoders/012 Autoencoders.mp4 | 5.82 MB |
| 04 Autoencoders/013 Denoising Autoencoders.mp4 | 3.43 MB |
| 04 Autoencoders/014 Stacked Autoencoders.mp4 | 6.6 MB |
| 04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 | 38.51 MB |
| 04 Autoencoders/016 Testing our Autoencoder Theano.mp4 | 11.36 MB |
| 04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4 | 41.96 MB |
| 04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4 | 24.45 MB |
| 04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 | 18.53 MB |
| 04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4 | 7.41 MB |
| 04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4 | 2.45 MB |
| 04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4 | 27.85 MB |
| 05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4 | 14.38 MB |
| 05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp4 | 9.37 MB |
| 05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp4 | 4.84 MB |
| 05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4 | 47.76 MB |
| 05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp4 | 13.7 MB |
| 06 The Vanishing Gradient Problem/028 The Vanishing Gradient Problem Description.mp4 | 5.2 MB |
| 06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp4 | 31.29 MB |
| 07 Extras Visualizing what features a neural network has learned/030 Exercises on feature visualization and interpretation.mp4 | 3.75 MB |
| 07 Extras Visualizing what features a neural network has learned/031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 2.23 MB |
| 07 Extras Visualizing what features a neural network has learned/032 BONUS How to derive the free energy formula.mp4 | 10.88 MB |
| 08 BONUS Application of PCA SVD to NLP Natural Language Processing/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4 | 3.93 MB |
| 08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp4 | 25.61 MB |
| 08 BONUS Application of PCA SVD to NLP Natural Language Processing/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp4 | 25.98 MB |
| 09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 | 43.92 MB |
| 09 Appendix/037 How to Code by Yourself part 1.mp4 | 24.53 MB |
| 09 Appendix/038 How to Code by Yourself part 2.mp4 | 14.8 MB |
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