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Motivation

  • Neural networks are stong in:

    • Learning from a set of examples
    • Optimizing solutions via constraints and cost functions
    • Classification: grouping elements in classes
    • Speech recognition, pattern matching
    • Non-parametric statistical analysis and regressions

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