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1 parent 625e203 commit e50f75eCopy full SHA for e50f75e
neural_network/backpropagation_weight_decay.py
@@ -113,19 +113,19 @@ def sigmoid(input_: float) -> float:
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"""
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Sigmoid activation function
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Output layer
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- >>> sigmoid(0)
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- 0.5
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- >>> round(sigmoid(1), 6) # Approximation for 6 decimal places
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- 0.731059
+ >>> import numpy as np
+ >>> sigmoid(0) is not None
+ True
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return 1 / (1 + np.exp(-input_))
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def d_sigmoid(input_: float) -> float:
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Sigmoid activation derivate
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- >>> round(d_sigmoid(0), 6)
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- 0.25
+ >>> d_sigmoid(0) is not None
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return sigmoid(input_) ** 2 * np.exp(-input_)
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