Artificial Neural Network (ANN)

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Analogy: Suppose we want to come down (descend) from a high hill (higher error) to a low valley (lower error). We move along the negative gradient or slopes. By doing so, we take the steepest path to the downhill valley steepest descent algorithm Where tp and fp are respectively the target and actual output for patterns p The updated weights:

  Analogy