Created
November 23, 2017 13:15
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Very simple 2 layer neural network
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| import numpy as np | |
| import math | |
| inp = np.matrix([[1.0], [0.5]]) | |
| weights = np.matrix([[0.9, 0.3],[0.2,0.8]]) | |
| x = weights.dot(inp) | |
| sigmoid = np.vectorize(lambda x: 1 / (1 + math.exp(-x))) | |
| sigmoid(x) | |
| #out.append(sigmoid(np.array(wsum)[0])) |
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