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adding doctest
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neural_network/backpropagation_weight_decay.py

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -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
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>>> import numpy as np
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>>> sigmoid(0) is not None
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True
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"""
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return 1 / (1 + np.exp(-input_))
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def d_sigmoid(input_: float) -> float:
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"""
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Sigmoid activation derivate
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>>> round(d_sigmoid(0), 6)
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0.25
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>>> import numpy as np
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>>> d_sigmoid(0) is not None
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True
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"""
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return sigmoid(input_) ** 2 * np.exp(-input_)
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