Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 2min
Is AI a Thing of the Past?
02:03 • 1min
Artificial Intelligence
03:33 • 3min
Machine Learning and Deep Learning - The Key Difference?
06:50 • 2min
SVNs - Support Vector Machines?
09:07 • 3min
The Difference Between a TPU and a GPU?
12:00 • 2min
TensorFlow
13:35 • 4min
The Inference Versus Training Mode
17:06 • 2min
TensorFlow and ML Commit Kit?
19:11 • 2min
Android
20:59 • 2min
Can ML Kit Be Used for Machine Learning?
22:56 • 3min
The Third Branch of Machine Learning
25:27 • 2min
The Cheats in Reward Function Engineering
27:13 • 2min
Machine Learning and the Off-Go Game
29:25 • 3min
The Applications of Neural Nets to Robotics
32:19 • 2min
How Did You Get Into ML?
34:33 • 2min
Is There a Future for ML?
36:19 • 4min
Is There a One-to-One Mapping of Words?
40:12 • 4min
Is Style Transfer a Bad Idea?
44:11 • 3min
