unsupervised-deep-learning-in-python
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| Torrent Hash : | A38869DE7EC5176860C5DEF241DBF424160CB2D6 |
| Torrent Added : | 1 Year+ in Movies |
| Torrent Size : | 556.36 MB |
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Torrent File Content (40 files)
[FreeTutorials.Us] unsupervised-deep-learning-in-python
01 Introduction and Outline
001 Introduction and Outline.mp4 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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
[FreeTutorials.Us].txt -
75 bytes
Freetutorials.Us.url -
119 bytes
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