#convolution

2 articles

01 ·Numerical Computing·★ MEMBER·PAPER·9 min read The FFT from Scratch — Why Convolution Turns into Multiplication A from-zero walk through the Fourier transform: a smoothie metaphor, the spinning-needle intuition, the DFT formula, and the divide-and-conquer trick behind the FFT — ending with the polynomial-multiplication view that makes the convolution theorem feel obvious. 02 ·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.