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Method backprop

network.py:93–126  ·  view source on GitHub ↗

Return a tuple ``(nabla_b, nabla_w)`` representing the gradient for the cost function C_x. ``nabla_b`` and ``nabla_w`` are layer-by-layer lists of numpy arrays, similar to ``self.biases`` and ``self.weights``.

(self, x, y)

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Callers 1

update_mini_batchMethod · 0.95

Calls 3

cost_derivativeMethod · 0.95
sigmoidFunction · 0.70
sigmoid_primeFunction · 0.70

Tested by

no test coverage detected