Udemy Unsupervised Deep Learning in Python TUTSEM 02 Principal Components Analysis 006 MNIST visualization finding the optimal number of principal components mp4

Udemy Unsupervised Deep Learning in Python TUTSEM
02 Principal Components Analysis 006 MNIST visualization finding the optimal number of principal components mp4

Name	Udemy - Unsupervised Deep Learning in Python - TUTSEM	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	583.4 MB
Total Files	42
Last Seen	2025-06-10 23:45
Hash	D0B46B392FD02336067AB09446DDFC0C97F3C12D

/02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4	9.8 MB
/02 Principal Components Analysis/007 PCA objective function.mp4	3.9 MB
/02 Principal Components Analysis/004 What does PCA do.mp4	12.1 MB
/02 Principal Components Analysis/005 PCA derivation.mp4	7.0 MB
/04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4	40.4 MB
/01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4	5.4 MB
/01 Introduction and Outline/001 Introduction and Outline.mp4	3.4 MB
/06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp4	32.8 MB
/04 Autoencoders/016 Testing our Autoencoder Theano.mp4	11.9 MB
/04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4	44.0 MB
/04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4	2.6 MB
/05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4	15.1 MB
/05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp4	9.8 MB
/05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp4	5.1 MB
/05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4	50.1 MB
Showing first 15 files of 42 total files