Convolutional Neural Networks (CNNs) are the backbone of modern image recognition. The key operation is 2D convolution: sliding a small filter (kernel) over an input image and computing weighted sums.
A from-scratch 2D convolution engine that bridges classical image processing and deep learning — built to answer the question: do CNNs learn the same filters that engineers hand-designed? All ...
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