February 2018
Intermediate to advanced
262 pages
6h 59m
English
Content preview from Deep Learning with PyTorch
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Measure of success
The measure of success will be directly determined by your business goal. For example, when trying to predict when the next machine failure will occur in windmills, we would be more interested to know how many times the model was able to predict the failures. Using simple accuracy can be the wrong metric, as most of the time the model will predict correctly when the machine will not fail, as that is the most common output. Say we get an accuracy of 98%, and the model was wrong each time in predicting the failure rate—such models may not be of any use in the real world. Choosing the correct measure of success is crucial for business problems. Often, these kinds of problems have imbalanced datasets.
For balanced classification ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.