Applying The Magic Of Neural Networks
summary
A short project shows a Node.js pipeline that predicts football match outcomes from team market values, using the synaptic library to build a small feedforward network with hidden layers, forward and backpropagation, and gradient descent training. The prototype reports a 0.19 mean squared error on training data, highlights rising cross‑validation error and benefit from more features, and suggests a possible home team advantage signal; code and data retrieval are available and uses synaptic.
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chapters (7)
- 0:00Start
- 9:50FORWARD PROPAGATION
- 11:39BACK PROPAGATION
- 12:41GRADIENT DESCENT
- 23:02ADJUST LEARNING RATE
- 24:09GET MORE DATA
- 25:03ADD MORE FEATURES
