December 2018
Beginner to intermediate
226 pages
7h 59m
English
Content preview from Hands-On Meta Learning with Python
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Algorithm
Now let's see how gradient agreement works step by step:
- Let's say we have a model
parameterized by a parameter 
and a distribution over tasks 
. First, we randomly initialize the model parameter 
. - We sample some batch of tasks
from a distribution ...
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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.