#pooling

1 articles

01 ·CNNs & Image Recognition·FREE·8 min read Image Classification from Scratch — The Invention of the Convolution Feed a photograph straight into a fully connected layer and you get over a hundred million parameters — and a model for which the same cat, moved a few pixels, is an entirely different input. The convolution solves both with one idea: slide a small window. Kernels, stride, padding and pooling, ending with softmax turning scores into probabilities.