November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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The loss function
The loss function is a function that defines the error between the prediction result and the sample dataset. The function value is calculated based on model parameters (
), sample datasets (
), and target values (
). Therefore, the loss function to be minimized can be expressed as follows:
Since the feature dataset and target values ...
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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.