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Keras 2.x Projects

You're reading from Keras 2.x Projects 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781789536645

Length 394 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

Giuseppe Ciaburro

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started with Keras FREE CHAPTER

2. Modeling Real Estate Using Regression Analysis

3. Heart Disease Classification with Neural Networks

4. Concrete Quality Prediction Using Deep Neural Networks

5. Fashion Article Recognition Using Convolutional Neural Networks

6. Movie Reviews Sentiment Analysis Using Recurrent Neural Networks

7. Stock Volatility Forecasting Using Long Short-Term Memory

8. Reconstruction of Handwritten Digit Images Using Autoencoders

9. Robot Control System Using Deep Reinforcement Learning

10. Reuters Newswire Topics Classifier in Keras

11. What is Next?

12. Other Books You May Enjoy

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Who this book is for

If you are a data scientist, machine learning engineer, deep learning practitioner or an AI engineer who wants to build speedy intelligent applications with minimal lines of codes, then this book is the best fit for you.

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Authors (1)

Giuseppe Ciaburro

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).

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