Alescontrela · June 15, 2018 23:12
diff --git a/categoricalcrossentropy.py b/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
	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