Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Intro
ACM President
Two paradigms for AI
Symbolic and biological paradigms
Programming
Neural nets
Random weights
Rosenblatt
Winter
How Neural Networks Work
Types of Learning Algorithms
Supervised Learning
Back Propagation
Backpropagation
Silly Theories
Conference Rejection
Technical Advances
Acoustic Modeling
Object Recognition
Machine Translation
Future of Computer Vision
Future of Neural Networks
Handwriting Recognition
Perceptual World
Hierarchy
Bill Recognition
Face Detection
Pedestrian Detection
Segmentation
Panopticon Network
Medical Image Analysis
Breast Cancer Detection
MRI Data Collection
Translation with Neural Networks
Image Segmentation
Reinforcement Learning
Training a Robot
Training a Car
Developmental Psychology
Object permanence
Wheres the salvation
Taught by
Association for Computing Machinery (ACM)