Deep Learning(CS7015): Lec 6.1 Eigenvalues and Eigenvectors
lec06mod01.
Deep Learning(CS7015): Lec 1.6 The Curious Case of Sequences
lec01mod06.
Deep Learning(CS7015): Lec 12.6 Optimization over images
lec12mod06.
Deep Learning(CS7015): Lec 5.6 Stochastic And Mini-Batch Gradient Descent
lec05mod06.
Deep Learning(CS7015): Lec 12.8 Deep Dream
lec12mod08.
Deep Learning(CS7015): Lec 12.1 Visualizing patches which maximally activate a neuron
lec12mod01.
Deep Learning(CS7015): Lec 6.3 Eigenvalue Decompositon
lec06mod03.
Deep Learning(CS7015): Lec 3.5 Representation Power of Multilayer Network of Sigmoid Neurons
lec03mod05.
Deep Learning(CS7015): Lec 6.2 Linear Algebra : Basic Definitions
lec06mod02.
Deep Learning(CS7015): Lec 5.9 Gradient Descent with Adaptive Learning Rate
lec05mod09.
Deep Learning(CS7015): Lec 7.6 Contractive Autoencoders
lec07mod06.
Deep Learning(CS7015): Lec 6.6 (Part-2) PCA : Interpretation 3 (Contd.)
lec06mod06 part02.
Deep Learning Part - II (CS7015): Lec 20.3 Variational Autoencoders: The Graphical model perspective
Deep Learning
Deep Learning Part - II (CS7015): Lec 18.6 Computing the gradient of the log likelihood
lec18mod06.
Deep Learning(CS7015): Lec 2.6 Proof of Convergence of Perceptron Learning Algorithm
lec02mod06.
Deep Learning(CS7015): Lec 7.3 Regularization in autoencoders (Motivation)
lec07mod03.
Deep Learning(CS7015): Lec 6.4 Principal Component Analysis and its Interpretations
lec06mod04.
