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github.com/lazyprogrammer/machine_learning_examples
/ softmax
Function
softmax
rl3/es_mnist.py:40–43 ·
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(a)
Source
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def
softmax(a):
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c = np.max(a, axis=1, keepdims=True)
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e = np.exp(a - c)
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return
e / e.sum(axis=-1, keepdims=True)
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def
relu(x):
Callers
1
forward
Method · 0.70
Calls
no outgoing calls
Tested by
no test coverage detected