March 2018
Intermediate to advanced
272 pages
7h 53m
English
Content preview from Deep Learning Quick Reference
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Regression analysis and deep neural networks
In classic regression analysis, we use a linear model to learn the relationship between a set of independent variables and a dependent variable. In finding this relationship, we expect to be able to predict the value of the dependent variable given the values of the independent variables.
A second important reason to do regression analysis is to understand the impact a single independent variable has on the dependent variable when all other independent variables are held constant. One of the great things about traditional multiple linear regression is the ceteris paribus property of linear models. We can interpret the impact a single independent variable has on the dependent variable without consideration ...
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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.