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lucifermorningstar1305/nn.py

Created January 13, 2019 16:02
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nn.py
activation_function = lambda x: 1.0/(1.0 + np.exp(-x))
input = np.random.randn(3,1)
W1 = np.random.randn(None, 1)
W2 = np.random.randn(None,1)
W3 = np.random.randn(None,1)
b1 = np.zeros(1)
b2 = np.zeros(1)
b3 = np.zeros(1)
hidden_1 = activation(np.dot(W1, input) + b1)
hidden_2 = activation(np.dot(W2, W1) + b2)
output = np.dot(W3, W2) + b3
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