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Neural Networks by Hand

Neural Networks by Hand

Prerequesites

Gradient Descent
Linear Algebra
Vector and Matrix Calculus
The Chain Rule

Building Blocks

Neurons and Networks
Backward Propagation
Activation Functions and their Derivatives
Cost Functions and their Derivatives
Softmax and Cross-Entropy

Putting it all together

Feedforward Neural Networks

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By Phil Swatton
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