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A sigmoid function is a mathematical function having a characteristic "S"-shaped curve or sigmoid curve. A standard choice for a sigmoid function is the logistic.
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Scanner: coupe axiale du petit bassin. Image 2. Cas 2. Image 3.
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Image 4. Image 6. Image 7. Scanner: coupe axiale du petit bassin Agrandissement.
Sigmoid activation function
Image 8. Image 9 de 9. Chronic diverticulitis: clinical, radiographic, and pathologic findings. Now, derivative of a constant is 0 , so we can write the next step as. Applying the exponential rule we get,. Next, by the rule of linearity we can write.
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Derivative of the differentiation variable is 1 , applying which we get. Okay, we are complete with the derivative!! But but but, we still need to simplify it a bit to get to the form used in Machine Learning. Now, if we take a look at the first equation of this article 1 , then we can rewrite as follows. And with that the simplification is complete! So, the derivative of the sigmoid function is. And the graph of the derivative of the sigmoid function looks like.
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