Category: Neural Networks
From-scratch neural network and deep learning fundamentals, built concept by concept.
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The Calculus Behind Backpropagation: Every Derivative, From First Principles
The calculus behind backpropagation, derived from first principles: the nudge ratio, the power rule, the chain rule, partial derivatives, and the fan-out…
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How Neural Networks Learn: From One Neuron to Backpropagation, Concept by Concept
How do neural networks learn? Build it from scratch, concept by concept — from a single neuron to weighted sums, ReLU, loss,…