November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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The behavior of the probabilistic generative model
Let's assume that there are two target classes: 
. By using Bayes' theorem, the posterior probability of 
can be described as follows:
In this case, we are using a logistic sigmoid function, 
, and defining a as follows:
This inverted logistic sigmoid function is called the logit function, which ...
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