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we should try to do this with regression on a simple dataset from the internet somewhere because I think it is hard to see how well it is doing with completley random data
4175aca
| import numpy as np | |
| relu = lambda x: np.maximum(x, 0) | |
| relu_prime = lambda x: np.where(x > 0, 1, 0) | |
| tanh = lambda x: np.tanh(x) | |
| tanh_prime = lambda x: 1 - tanh(x) ** 2 | |
| sigmoid = lambda x: 1.0 / (1.0 + np.exp(-x)) | |
| sigmoid_prime = lambda x: sigmoid(x) / 1.0 - sigmoid(x) | |