July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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How it works...
This section explains the mathematics behind the sigmoid function.
- The sigmoid function is a specialized version of the logistic regression used for classification. The calculation of the logistic regression is expressed with the following formula:
- The variables for the logistic regression function stand for the following:
- L stands the maximum value of the function
- k stands for the steepness of the curve
- xmidpoint stands for the midpoint value of the function
- Since the sigmoid function has a steepness of value 1, a midpoint of 0, and a maximum value of 1, it produces the following function:
- We can plot a general sigmoid ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.