July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Variational inference
Before going ahead, let's get familiar with the notations:
- Let's represent the distribution of the input dataset by
, where 
represents the parameter of the network that will be learned during training - We represent the latent variable by
, which encodes all the properties of the input by sampling from the distribution 
denotes ...
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