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# of kernels
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Classroom Contents
Convolutional Neural Networks Explained Easily
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- 1 Intro
- 2 Intuition
- 3 CNN components
- 4 Convolution: Zero padding
- 5 Architectural decisions for convolution
- 6 Grid size
- 7 Depth
- 8 # of kernels
- 9 Pooling settings
- 10 Max pooling (2x2, stride 2)
- 11 CNN architecture
- 12 How does convolution/pooling apply to audio?
- 13 Preparing MFCCs for a CNN
- 14 What's up next?
