Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9
Introduction
00:00 • 2min
The Convolutional Neural Network for Image Recognition
02:12 • 2min
The Convolutional Layer
04:41 • 3min
The Convolution of Particle Energy Spectrums
07:48 • 2min
The Different Types of Convolutions in the Neural Net
10:09 • 3min
The Different Filters in the Neural Net
13:17 • 2min
The Importance of Max Pooling in NLP Architecture
15:11 • 2min
Max Pooling for Image Recognition
17:41 • 2min
Linear Digressions: A New Neural Net Architecture
19:44 • 2min
