Build your own Neural Network, with PHP!
summary
Builds a feed‑forward neural network from scratch in PHP using MathPHP matrices and (optionally) the PHP‑SEI extension, implements sigmoid activation and mean squared error, initializes weights randomly and biases to zero, trains XOR with gradient descent/backprop and learning rate 0.1 for up to 20,000 iterations, stops around ~10,000 when error <0.001, and outputs ~0.03 for 0,0 and ~0.96 for 1,1. Code and examples live on GitHub. forward propagation back propagation
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chapters (7)
- 0:00Introduction and motivation
- 4:44Neural networks basics
- 15:19Building the XOR network
- 22:49Training algorithm explained
- 32:54Testing and results
- 37:00Deep learning and resources
- 40:21Q&A session
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