Making Sense of Convolutional Neural Networks

Automated excerpt

Why Not Just Feed an Image to a Normal Neural Network? Even a modest 224×224 color image has over 150,000 pixel values. You're not learning a separate set of weights for every pixel position — you're learning one small pattern detector and applying it everywhere. So the network isn't learning "cat" directly. It's learning a hierarchy: edges → textures → parts → objects.

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