Created
October 9, 2018 02:24
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neural network prediction
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| def predict(theta1, theta2, X, y): | |
| m = len(y) | |
| ones = np.ones((m,1)) | |
| a1 = np.hstack((ones, X)) | |
| a2 = sigmoid(a1 @ theta1.T) | |
| a2 = np.hstack((ones, a2)) | |
| h = sigmoid(a2 @ theta2.T) | |
| return np.argmax(h, axis = 1) + 1 |
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