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You're reading from  Deep Learning Quick Reference

Product typeBook
Published inMar 2018
Reading LevelExpert
PublisherPackt
ISBN-139781788837996
Edition1st Edition
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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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Building a binary classifier in Keras

Now that we've defined our problem, our inputs, our desired output, and our cost function, we can quickly code the rest in Keras. The only thing we're missing is a network architecture. We will talk more about that soon. One of my favorite things about Keras is how easy it is tune the network architecture. As you're about to see, it might take a lot of experimentation before you locate the best architecture. If that's true, a framework that easily changes makes your job easier!

The input layer

As before, our input layer needs to know the dimensions of our dataset. I like to build the entire Keras model inside a function, and allow that function to pass back the compiled...

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Deep Learning Quick Reference
Published in: Mar 2018Publisher: PacktISBN-13: 9781788837996

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