Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 4min
The Perceptions Book
04:14 • 2min
How Do We Learn Language?
06:10 • 5min
The Pendulum Swinging Away From Neural Networks
10:57 • 3min
How Do Support Vector Machines Work?
14:23 • 3min
Emnist Is the Equivalent for Machine Learning.
16:58 • 3min
How the Neural Networks Work?
19:45 • 6min
What Is a Thought?
25:17 • 3min
What's Funny About Mental Terms?
28:34 • 3min
The Future of Artificial Intelligence
31:39 • 3min
Is There a Future for Artificial Intelligence?
34:36 • 2min
Do You Have a Hammer or a Nail?
36:49 • 2min
The Importance of Representations in Image Modelling
38:54 • 2min
The So-Called Neural Tangent
40:55 • 5min
I'd Love to Pull Apart a Few of the Lessons of Mathematica
46:09 • 3min