Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 2min
The Boltzmann Machine
02:09 • 5min
Brain Learning During Sleep
07:23 • 5min
The New Era of Natural Language Processing
11:55 • 4min
Learning Algorithms Scale Very Well
16:19 • 3min
The Power of Parallel Hardware in Machine Learning
18:51 • 6min
Is the Brain Doing the Equivalent of Back Propagation?
24:28 • 2min
Reward Prediction Error in Machine Learning
26:40 • 2min
Synaptic Plasticity - How Does It Work?
28:52 • 2min
Deep Learning and Spike Time Dependent Plasticity
30:46 • 5min
Unsupervised Pre-Training Is Important for Deep Learning
35:27 • 2min
How the Brain Can Learn Multilayne Nets?
37:07 • 5min
How to Train Multi-Layer Neural Nets
42:01 • 5min
Building a Deep Learning Network Based on the Visual Cortex
46:47 • 5min
Train a Neural Network Using Unsupervised Running
51:47 • 4min
The Future of Unsupervised Learning
55:39 • 2min
AI and the Singularity
57:38 • 2min