Deep Learning(CS7015): Lec 7.1 Introduction to Autoncoders
lec07mod01.
Deep Learning(CS7015): Lec 7.4 Denoising Autoencoders
lec07mod04.
Deep Learning(CS7015): Lec 7.3 Regularization in autoencoders (Motivation)
lec07mod03.
Deep Learning(CS7015): Lec 7.5 Sparse Autoencoders
lec07mod05.
Deep Learning(CS7015): Lec 7.6 Contractive Autoencoders
lec07mod06.
Deep Learning(CS7015): Lec 7.2 Link between PCA and Autoencoders
lec07mod02.
Deep Learning(CS7015): Lec 10.9 Evaluating word representations
lec10mod09.
Deep Learning(CS7015): Lec 5.4 Momentum based Gradient Descent
lec05mod04.
Deep Learning(CS7015): Lec 13.2 Recurrent Neural Networks
lec13mod02.
Deep Learning(CS7015): Lec 5.7 Tips for Adjusting Learning Rate and Momentum
lec05mod07.
Deep Learning(CS7015): Lec 14.3 (Part-2) How LSTMs avoid the problem of vanishing gradients (Contd.)
lec14mod03 part02.
Deep Learning Part - II (CS7015): Lec 20.2 Variational Autoencoders: The Neural Network Perspective
Deep Learning
Deep Learning(CS7015): Lec 2.8 Representation Power of a Network of Perceptrons
lec02mod08.