Created
March 5, 2020 17:28
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softmax
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| def softmax(x): | |
| e_x = np.exp(x - np.max(x, axis=1).reshape(-1, 1)) | |
| return e_x / e_x.sum(axis=1).reshape(-1, 1) |
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