April 2020
Beginner to intermediate
156 pages
4h 47m
English
Content preview from Hands-On One-shot Learning with Python
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Overview of Bayesian learning
In this section, we will briefly discuss the idea behind Bayesian learning from a mathematical perspective, which is the core of the probabilistic models for one-shot learning. The overall goal of Bayesian learning is to model the distribution of the parameters, 
, given the training data, that is, to learn the distribution, 
.
In the probabilistic view of machine learning, we try to solve the following equation:
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