May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Batch mode
For the batch mode of gradient descent, the loss function is calculated immediately for all available training samples, and then corrections of the weight coefficients of the neuron are introduced by the error backpropagation method.
The batch method is faster and more stable than stochastic mode, but it tends to stop and get stuck at local minima. Also, when it needs to train large amounts of data, it requires substantial computational resources.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.