December 2018
Beginner to intermediate
226 pages
7h 59m
English
Content preview from Hands-On Meta Learning with Python
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Concept discrimination loss
We sample some data points 
from our dataset 
, feed them to the concept generator which learns the concepts and sends them to the concept discriminator, which tries to predict the classes for those concepts. So, the concept discriminator loss implies how good our concept discriminator is at predicting the classes and it can be represented as follows:
Our loss function can be any loss function according to our task. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.