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Back-Propagation Learning (2)

  • Training curve for 100 restaurant examples converges to a perfect fit to the training data
  • MLPs are quite good for complex pattern recognition tasks, but resulting hypotheses cannot be understood easily
  • Typical problems: slow convergence, local minima

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