April 2020
Beginner to intermediate
156 pages
4h 47m
English
Content preview from Hands-On One-shot Learning with Python
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Understanding directed graphical models
We will now study directed graphical models briefly before we delve into probabilistic models for one-shot learning. A directed graphical model (also known as a Bayesian network) is defined with random variables connected with directed edges, as in the parent-child relationship. One such Bayesian network is shown in the following diagram:
The joint distribution over random variables in this graph S, R, L, W, and T can be broken into multiple distributions by a simple chain rule:
The conditional distributions ...
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