Alescontrela · June 15, 2018 23:08
diff --git a/softmax.py b/softmax.py
 def softmax(raw_preds):
    '''
    pass raw predictions through softmax activation function
    '''
    out = np.exp(raw_preds) # exponentiate vector of raw predictions
    return out/np.sum(out) # divide the exponentiated vector by its sum. All values in the output sum to 1.
	def softmax(raw_preds):
	'''
	pass raw predictions through softmax activation function
	'''
	out = np.exp(raw_preds) # exponentiate vector of raw predictions
	return out/np.sum(out) # divide the exponentiated vector by its sum. All values in the output sum to 1.