Channels, Feature Maps & Receptive Fields
How depth builds richer features.
Color Images Have Channels
A color photo is not one grid but three: red, green, and blue. Each is a channel, so the image has shape 3 by height by width.
Kernels Span All Channels
A conv kernel covers every input channel at once. For RGB, a 3x3 kernel is really 3x3x3 and sums across all three.
All lessons in this course
- Convolution: Kernels Slide Over Pixels
- Stride, Padding & Pooling
- Channels, Feature Maps & Receptive Fields
- Assemble a CNN Image Classifier