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Neural Network
0:23
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A single neuron computes a(wx + b), then ReLU clamps every negative to zero - one simple bend. Stack enough of these ReLU bends and they trace almost any curve. That is the universal approximation theorem: the reason neural networks can fit almost any shape. Full episode - Why Neural Networks Can't Learn Without Activation: https://youtu.be ...
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