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Backpropagation From Scratch: Deriving the Four Equations, Verified Against PyTorch (Ep:03.04)
Backpropagation is four equations, applied layer by layer. Module 3 of From Zero to Agents derives all four from the chain rule, implements them in raw NumPy with no autograd,…
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Derivatives and Gradients — The Mechanism Behind “Learning” (Ep:02.02)
Every neural network “learns” by following a gradient downhill. Module 2 of From Zero to Agents builds derivatives, partial derivatives, and the chain rule from first principles, verifies them against…
