data_mining:neural_network:debugging

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Gradient checking

Approximating derivatives:

(Large triangle (+/- triangle, two-sided difference))

$\frac{f(\Theta + \epsilon) - f(\Theta - \epsilon)}{2 \epsilon} ~ g(\Theta)$

$f'(\Theta) = \lim_{\epsilon->0} \frac{f(\Theta + \epsilon) - f(\Theta - \epsilon)}{2 \epsilon}$

Approx error is in $O(\epsilon^2)$

  • data_mining/neural_network/debugging.1503180380.txt.gz
  • Last modified: 2017/08/20 00:06
  • by phreazer