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Deep Learning Quick Reference

You're reading from Deep Learning Quick Reference

Product type Book

Published in Mar 2018

Publisher Packt

ISBN-13 9781788837996

Pages 272 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Mike Bernico

Table of Contents (15) Chapters

Preface

The Building Blocks of Deep Learning

Using Deep Learning to Solve Regression Problems

Monitoring Network Training Using TensorBoard

Using Deep Learning to Solve Binary Classification Problems

Using Keras to Solve Multiclass Classification Problems

Hyperparameter Optimization

Training a CNN from Scratch

Transfer Learning with Pretrained CNNs

Training an RNN from scratch

Training LSTMs with Word Embeddings from Scratch

Training Seq2Seq Models

Using Deep Reinforcement Learning

Generative Adversarial Networks

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How GANs can fail

Training a GAN is a tricky thing, to say the least. There are an amazing number of ways one fail at training a GAN. In fact, in writing this chapter, I found myself expanding the vocabulary of my profanity vector significantly while also spending a small fortune on cloud GPU time! Before I show you two working GANs later in the chapter, let's consider what could break and how we might be able to fix those things.

Stability

Training a GAN requires a careful balancing act between the discriminator and generator. The discriminator and generator are both fighting against each other for deep network supremacy. On the other hand, they also need each other to learn and grow. In order for this to work, neither...

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Authors (1)

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.

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