December 2017
Intermediate to advanced
536 pages
14h 23m
English
In this recipe, we will learn how to first stack RBMs to make a DBN, and then train it to detect emotions. The interesting part of the recipe is that we employ two different learning paradigms: first, we pretrain RBMs one by one using unsupervised learning, and then, in the end, we have an MLP layer, which is trained using supervised learning.
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