Deep Learning Chapter 1 Introduction presented by Ian Goodfellow

Deep Learning Chapter 2 Linear Algebra presented by Gavin Crooks

Introduction to GANs, NIPS 2016 | Ian Goodfellow, OpenAI

1. Introduction and Scope

MIT Introduction to Deep Learning | 6.S191

But what is a neural network? | Deep learning chapter 1

Deep Learning Chapter 10 Sequence Modeling: Recurrent and Recursive Nets presented by Ian Goodfellow

Lecture 1: Introduction to Cryptography by Christof Paar

Ian Goodfellow: Adversarial Machine Learning (ICLR 2019 invited talk)

Ian Goodfellow - Numerical Computation for Deep Learning - AI With The Best Oct 14-15, 2017

IanGoodfellow PhD Defense Presentation

16. Learning: Support Vector Machines

Deep Learning Basics: Introduction and Overview

Deep Learning Chapter 4 Numerical Computation presented by Yaroslav Bulatov

MIT Introduction to Deep Learning (2023) | 6.S191

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

11. Introduction to Machine Learning

The Essential Main Ideas of Neural Networks

Deep Learning Chapter 3 Information Theory presented by Yaroslav Bulatov

Deep Learning Book Chapter 6, ""Deep Feedforward Networks" presented by Ian Goodfellow

Deep Learning 27: (1) Generative Adversarial Network (GAN): Introduction and Back-Propagation