May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Mini-batch mode
In practice, mini-batches are often used as a compromise. The weights are adjusted after processing several training samples (mini-batches). This is done less often than with stochastic descent, but more often than with batch mode.
Now that we've looked at the main backpropagation training modes, let's discuss the problems of the backpropagation method.
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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.