Math — Neural Networks
Forward pass and learning by backpropagation.
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\mathbf{a} = \sigma(W\mathbf{x} + \mathbf{b})
\sigma(z) = \frac{1}{1 + e^{-z}}
\frac{\partial L}{\partial W}\ \text{via backpropagation}
W \leftarrow W - \eta\frac{\partial L}{\partial W}