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Method update_mini_batch

network.py:77–91  ·  view source on GitHub ↗

Update the network's weights and biases by applying gradient descent using backpropagation to a single mini batch. The ``mini_batch`` is a list of tuples ``(x, y)``, and ``eta`` is the learning rate.

(self, mini_batch, eta)

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Callers 1

SGDMethod · 0.95

Calls 1

backpropMethod · 0.95

Tested by

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