The first chapter in 3Blue1Brown's deep learning series. Using handwritten digit recognition as an example, Grant Sanderson explains what neurons are, how they connect in layers, and how activation functions introduce non-linearity. The video makes abstract concepts concrete through visualizations, showing how simple mathematical operations combine to create powerful pattern recognition systems.

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