July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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The sigmoid function
The sigmoid function is one of the most commonly used activation functions. It scales the value between 0 and 1. The sigmoid function can be defined as follows:
It is an S-shaped curve shown as follows:
It is differentiable, meaning that we can find the slope of the curve at any two points. It is monotonic, which implies it is either entirely non-increasing or non-decreasing. The sigmoid function is also known as a logistic function. As we know that probability lies between 0 and 1 and since the sigmoid function squashes ...
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