January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Parameters and hyperparameters
While we are getting on with building a deep learning model, you need to know how to keep a tab on both parameters and hyperparameters. But how well do we understand these?
When it comes down to parameters, we have got weights and biases. As we begin to train the network, one of the prime steps is to initialize the parameters.
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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.