Lectures Nov 2017

Lecture 1

Introduction to Deep Learning and Neural Networks

Lecture 2

Modular Learning

Lecture 3

Advanced Optimizations

Lecture 4

Convolutional Neural Networksand Knowledge Transfer

Lecture 5

Understanding Convnets and Knowledge Transfer

Lecture 6

Recurrent Neural Networks

Lecture 7

Memory Networks for Language Understanding

Lecture 8

Unsupervised Learning, Representation, and Generative Models

Lecture 9

Unsupervised, Generative and Adversarial Networks

Lecture 10

Deep Generative Models

Lecture 11

Structured Deep Learning for Computer Vision

Lecture 12

Poster Presentations

Lecture 13

Deep Reinforcement Learning

Lecture 14

Exotic Deep Learning