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hub / github.com/MichalDanielDobrzanski/DeepLearningPython / evaluate

Method evaluate

network.py:128–135  ·  view source on GitHub ↗

Return the number of test inputs for which the neural network outputs the correct result. Note that the neural network's output is assumed to be the index of whichever neuron in the final layer has the highest activation.

(self, test_data)

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Callers 1

SGDMethod · 0.95

Calls 1

feedforwardMethod · 0.95

Tested by

no test coverage detected