Udemy Unsupervised Deep Learning in Python TUTSEM | D0B46B392FD02336067AB09446DDFC0C97F3C12D

Udemy Unsupervised Deep Learning in Python TUTSEM

Name	Udemy - Unsupervised Deep Learning in Python - TUTSEM	DOWNLOAD Copy Link
Total Size	583.4 MB
Total Files	42
Last Seen	2024-07-24 00:07
Hash	D0B46B392FD02336067AB09446DDFC0C97F3C12D

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Tutsem.com.lnk	2.8 KB
TUTSEM.COM.txt	0.3 KB
/01 Introduction and Outline/
001 Introduction and Outline.mp4	3.4 MB
002 Where does this course fit into your deep learning studies.mp4	5.4 MB
003 How to Succeed in this Course.mp4	10.0 MB
/02 Principal Components Analysis/
004 What does PCA do.mp4	12.1 MB
005 PCA derivation.mp4	7.0 MB
006 MNIST visualization finding the optimal number of principal components.mp4	9.8 MB
007 PCA objective function.mp4	3.9 MB
/03 t-SNE t-distributed Stochastic Neighbor Embedding/
008 t-SNE Theory.mp4	8.3 MB
009 t-SNE on the Donut.mp4	15.8 MB
010 t-SNE on XOR.mp4	9.8 MB
011 t-SNE on MNIST.mp4	4.6 MB
/04 Autoencoders/
012 Autoencoders.mp4	6.1 MB
013 Denoising Autoencoders.mp4	3.6 MB
014 Stacked Autoencoders.mp4	6.9 MB
015 Writing the autoencoder class in code Theano.mp4	40.4 MB
016 Testing our Autoencoder Theano.mp4	11.9 MB
017 Writing the deep neural network class in code Theano.mp4	44.0 MB
018 Autoencoder in Code Tensorflow.mp4	25.6 MB
019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4	19.4 MB
020 Cross Entropy vs. KL Divergence.mp4	7.8 MB
021 Deep Autoencoder Visualization Description.mp4	2.6 MB
022 Deep Autoencoder Visualization in Code.mp4	29.2 MB
/05 Restricted Boltzmann Machines/
023 Restricted Boltzmann Machine Theory.mp4	15.1 MB
024 Deriving Conditional Probabilities from Joint Probability.mp4	9.8 MB
025 Contrastive Divergence for RBM Training.mp4	5.1 MB
026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4	50.1 MB
027 RBM in Code Tensorflow.mp4	14.4 MB
/06 The Vanishing Gradient Problem/
028 The Vanishing Gradient Problem Description.mp4	5.5 MB
029 The Vanishing Gradient Problem Demo in Code.mp4	32.8 MB
/07 Extras Visualizing what features a neural network has learned/
030 Exercises on feature visualization and interpretation.mp4	3.9 MB
031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	2.3 MB
032 BONUS How to derive the free energy formula.mp4	11.4 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	4.1 MB
034 BONUS Latent Semantic Analysis in Code.mp4	26.9 MB
035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp4	27.2 MB
/09 Appendix/
036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
037 How to Code by Yourself part 1.mp4	25.7 MB
038 How to Code by Yourself part 2.mp4	15.5 MB
Total files 42