How does convolution work?

• Repeated application of a filter (Kernel) on a sliding window • The Stride indicates how much the kernel shifts • In this example the stride is 1 • Kernels can be of various shapes, in the example the kernel is 3x3x1. • The same kernel is applied to every image • The values inside each kernel are learned with backprop By computing the Dot product between the input and the filter, we can say that the filter is Convolved with the input.