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ivikash/Deep_Learning_functions.py

Created March 16, 2017 12:14
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Some basic and important functions for deep learning
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Deep_Learning_functions.py
def sigmoid(x):
return 1 / (1 + np.exp(-x))
def softmax(x):
return np.exp(x)/np.sum(np.exp(x))
def cross_entropy(y_vector, y_one_hot):
return -np.sum(y_one_hot * np.log(y_vector))
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