| 01 Introduction and Outline | |||
| 001 Introduction and Outline.mp4 | 3.27 MB | ||
| 002 Where does this course fit into your deep learning studies.mp4 | 5.18 MB | ||
| 003 How to Succeed in this Course.mp4 | 9.52 MB | ||
| 02 Principal Components Analysis | |||
| 004 What does PCA do.mp4 | 11.49 MB | ||
| 005 PCA derivation.mp4 | 6.66 MB | ||
| 006 MNIST visualization finding the optimal number of principal components.mp4 | 9.38 MB | ||
| 007 PCA objective function.mp4 | 3.68 MB | ||
| 03 t-SNE t-distributed Stochastic Neighbor Embedding | |||
| 008 t-SNE Theory.mp4 | 7.9 MB | ||
| 009 t-SNE on the Donut.mp4 | 15.1 MB | ||
| 010 t-SNE on XOR.mp4 | 9.31 MB | ||
| 011 t-SNE on MNIST.mp4 | 4.34 MB | ||
| 04 Autoencoders | |||
| 012 Autoencoders.mp4 | 5.82 MB | ||
| 013 Denoising Autoencoders.mp4 | 3.43 MB | ||
| 014 Stacked Autoencoders.mp4 | 6.6 MB | ||
| 015 Writing the autoencoder class in code Theano.mp4 | 38.51 MB | ||
| 016 Testing our Autoencoder Theano.mp4 | 11.36 MB | ||
| 017 Writing the deep neural network class in code Theano.mp4 | 41.96 MB | ||
| 018 Autoencoder in Code Tensorflow.mp4 | 24.45 MB | ||
| 019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 | 18.53 MB | ||
| 020 Cross Entropy vs. KL Divergence.mp4 | 7.41 MB | ||
| 021 Deep Autoencoder Visualization Description.mp4 | 2.45 MB | ||
| 022 Deep Autoencoder Visualization in Code.mp4 | 27.85 MB | ||
| 05 Restricted Boltzmann Machines | |||
| 023 Restricted Boltzmann Machine Theory.mp4 | 14.38 MB | ||
| 024 Deriving Conditional Probabilities from Joint Probability.mp4 | 9.37 MB | ||
| 025 Contrastive Divergence for RBM Training.mp4 | 4.84 MB | ||
| 026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4 | 47.76 MB | ||
| 027 RBM in Code Tensorflow.mp4 | 13.7 MB | ||
| 06 The Vanishing Gradient Problem | |||
| 028 The Vanishing Gradient Problem Description.mp4 | 5.2 MB | ||
| 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 | ||
| 031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 2.23 MB | ||
| 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 | ||
| 034 BONUS Latent Semantic Analysis in Code.mp4 | 25.61 MB | ||
| 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 | ||
| 037 How to Code by Yourself part 1.mp4 | 24.53 MB | ||
| 038 How to Code by Yourself part 2.mp4 | 14.8 MB | ||
| TUTSEM.COM.txt | 317 B | ||
| 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 |
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