cross-correlation

Backpropagation through convolution: deriving kernel and input gradients

Derive the kernel and input gradients of a convolutional layer using the chain rule, and connect cross-correlation, full convolution, kernel flipping, and stamp accumulation.

convolution  cross-correlation  backpropagation  deep-learning

deep-learning

2026-10-09   ·   12 min read