Deep Learning(CS7015): Lec 4.3 Output functions and Loss functions
lec04mod03.
Deep Learning(CS7015): Lec 3.4 Learning Parameters: Gradient Descent
lec03mod04.
Deep Learning(CS7015): Lec 15.3 Attention Mechanism
lec15mod03.
Deep Learning(CS7015): Lec 3.2 A typical Supervised Machine Learning Setup
lec03mod02.
Deep Learning(CS7015): Lec 1.3 The Deep Revival
lec01mod03.
Deep Learning(CS7015): Lec 14.3 (Part-2) How LSTMs avoid the problem of vanishing gradients (Contd.)
lec14mod03 part02.
Deep Learning(CS7015): Lec 13.3 Backpropagation through time
lec13mod03.
Deep Learning(CS7015): Lec 11.3 Convolutional Neural Networks
lec11mod03.
Deep Learning(CS7015): Lec 10.3 SVD for learning word representations
lec10mod03.
Deep Learning(CS7015): Lec 7.1 Introduction to Autoncoders
lec07mod01.
Deep Learning(CS7015): Lec 8.3 True error and Model complexity
lec08mod03.
Deep Learning(CS7015): Lec 5.9 Gradient Descent with Adaptive Learning Rate
lec05mod09.
Deep Learning(CS7015): Lec 3.3 Learning Parameters: (Infeasible) guess work
lec03mod03.