Content Analysis: Lecture by Professor Andrew Ng for
Deep Learning(CS7015): Lec 14.1 Selective Read, Selective Write, Selective Forget
lec14mod01.
Deep Learning(CS7015): Lec 14.3 How LSTMs avoid the problem of vanishing gradients
lec14mod03.
Deep Learning(CS7015): Lec 14.2 Long Short Term Memory(LSTM) and Gated Recurrent Units(GRUs)
lec14mod02.
Deep Learning(CS7015): Lec 14.3 (Part-2) How LSTMs avoid the problem of vanishing gradients (Contd.)
lec14mod03 part02.
Deep Learning(CS7015): Lec 13.4 The problem of Exploding and Vanishing Gradients
lec13mod04.
Deep Learning(CS7015): Lec 5.4 Momentum based Gradient Descent
lec05mod04.
Deep Learning(CS7015): Lec 11.4 CNNs (success stories on ImageNet)
lec11mod04.
Deep Learning(CS7015): Lec 13.2 Recurrent Neural Networks
lec13mod02.
Deep Learning(CS7015): Lec 2.4 Error and Error Surfaces
lec02mod04.
Lec 14. Generative Models: Basics
MIT 6.7960
Deep Learning(CS7015): Lec 15.1 Introduction to Encoder Decoder Models
lec15mod01.
Deep Learning Part - II (CS7015): Lec 19.1 Markov Chains
Deep Learning
Lecture 14 | Machine Learning (Stanford)
Lecture by Professor Andrew Ng for