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You're reading from  Deep Learning Quick Reference

Product typeBook
Published inMar 2018
Reading LevelExpert
PublisherPackt
ISBN-139781788837996
Edition1st Edition
Languages
Python
Tools
KerasTensorFlow
Concepts
Deep Learning
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Mike Bernico
Mike Bernico
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Mike Bernico

Mike Bernico is a Lead Data Scientist at State Farm Mutual Insurance Companies. He also works as an adjunct for the University of Illinois at Springfield, where he teaches Essentials of Data Science, and Advanced Neural Networks and Deep Learning. Mike earned his MSCS from the University of Illinois at Springfield. He's an advocate for open source software and the good it can bring to the world. As a lifelong learner with umpteen hobbies, Mike also enjoys cycling, travel photography, and wine making.
Read more about Mike Bernico

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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 to the other independent variable by using the learned weight associated with that independent variable. This type of interpretation...

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Deep Learning Quick Reference
Published in: Mar 2018Publisher: PacktISBN-13: 9781788837996
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Mike Bernico

Mike Bernico is a Lead Data Scientist at State Farm Mutual Insurance Companies. He also works as an adjunct for the University of Illinois at Springfield, where he teaches Essentials of Data Science, and Advanced Neural Networks and Deep Learning. Mike earned his MSCS from the University of Illinois at Springfield. He's an advocate for open source software and the good it can bring to the world. As a lifelong learner with umpteen hobbies, Mike also enjoys cycling, travel photography, and wine making.
Read more about Mike Bernico

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