stem/AI/Neural Networks/Training.md

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# Modes
## Sequential
- Apply changes after each train pattern
- Less local storage for each synaptic connection
- Search in weight space stochastic
- Patterns presented to network in random order
- Less likely to fall into local minima
- Difficult to establish theoretical conditions for convergence
## Batch
- Apply changes at the end
- Accurate estimate of gradient vector
- Can guarantee convergence to local minimum