Lessons
1
Images as matrices
2
The convolution operation
3
Pooling
4
Why convolutions work
5
1×1 convolutions and channel mixing
6
Dilated convolutions and receptive fields
7
Depthwise separable convolutions
8
Skip connections and residual learning
9
CNN architecture design patterns