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December 22, 2018 18:27
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The Softmax Algorithm for Multi-class Classification - Facebook Udacity PyTorch Challenge
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| import numpy as np | |
| def softmax(L): | |
| expL = np.exp(L) | |
| sumExpL = sum(expL) | |
| result = [] | |
| for i in expL: | |
| result.append(i * 1.0 / sumExpL) | |
| return result | |
| L = [5, 6, 7] | |
| print(softmax(L)) |
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