Packt+ | Advance your knowledge in tech

You're reading from Applied Deep Learning with Keras Solve complex real-life problems with the simplicity of Keras

Product type Paperback

Published in Apr 2019

Publisher

ISBN-13 9781838555078

Length 412 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (3):

Matthew Moocarme

Mahla Abdolahnejad

Ritesh Bhagwat

View More author details

Table of Contents (12) Chapters

Applied Deep Learning with Keras

Preface

1. Introduction to Machine Learning with Keras FREE CHAPTER

2. Machine Learning versus Deep Learning

3. Deep Learning with Keras

4. Evaluate Your Model with Cross-Validation using Keras Wrappers

5. Improving Model Accuracy

6. Model Evaluation

7. Computer Vision with Convolutional Neural Networks

8. Transfer Learning and Pre-Trained Models

9. Sequential Modeling with Recurrent Neural Networks

Applied Deep Learning with Keras

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Authors: Ritesh Bhagwat, Mahla Abdolahnejad, and Matthew Moocarme

Reviewer: Elder Santos

Managing Editor: Aditya Shah

Acquisitions Editor: Kunal Sawant

Production Editor: Shantanu Zagade

Editorial Board: David Barnes, Ewan Buckingham, Simon Cox, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Erol Staveley, Ankita Thakur, Mohita Vyas and Jonathan Wray

First Published: April 2019

Production Reference: 1220419

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street

Birmingham B3 2PB, UK

ISBN: 978-1-83855-507-8