Parameter-Sharing

a convolutional neural network is a feedforward network with its linear layers put on a diet: instead of every unit seeing every input, each unit sees a small local window, and every window is processed by the same small set of weights. 𐃏 this page builds the operation from its definition, gets the geometry formulas straight, walks the canonical architectures, and ends with a convolution written in loops and checked against scipy (Goodfellow, Ian, 2016).