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CNNs learn to see by sharing weights across space. Here's the math behind convolution, pooling, and why ResNets can train 100+ layers without vanishing gradients.
Transfer learning lets you use ResNet, BERT, and ViT weights trained on millions of examples for your own dataset. Fine-tune in 30 minutes with real code and benchmark comparisons.
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