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srikarplus/randInitializeWeights.py

Last active October 10, 2018 02:09
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randInitializeWeights.py
def randInitializeWeights(L_in, L_out):
epsilon = 0.12
return np.random.rand(L_out, L_in+1) * 2 * epsilon - epsilon
initial_theta1 = randInitializeWeights(input_layer_size, hidden_layer_size)
initial_theta2 = randInitializeWeights(hidden_layer_size, num_labels)
# unrolling parameters into a single column vector
nn_initial_params = np.hstack((initial_theta1.ravel(order='F'), initial_theta2.ravel(order='F')))
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