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Alescontrela/categoricalcrossentropy.py

Last active June 15, 2018 23:12
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categoricalcrossentropy.py
def categoricalCrossEntropy(probs, label):
'''
calculate the categorical cross-entropy loss of the predictions
'''
return -np.sum(label * np.log(probs)) # Multiply the desired output label by the log of the prediction, then sum all values in the vector
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