CANCEL

Subscription

0

Cart

You have no products in your basket yet

Save more on your purchases!
Savings automatically calculated. No voucher code required

Account

eBook

$27.98
Print

$48.99
Subscription

Free Trial

Renews at $19.99p/m
Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

- Master intricacies of R deep learning packages such as mxnet & tensorflow
- Learn application on deep learning in different domains using practical examples from text, image and speech
- Guide to set-up deep learning models using CPU and GPU

Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians.
This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance.
By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.

- Build deep learning models in different application areas using TensorFlow, H2O, and MXnet.
- Analyzing a Deep boltzmann machine
- Setting up and Analysing Deep belief networks
- Building supervised model using various machine learning algorithms
- Set up variants of basic convolution function
- Represent data using Autoencoders.
- Explore generative models available in Deep Learning.
- Discover sequence modeling using Recurrent nets
- Learn fundamentals of Reinforcement Leaning
- Learn the steps involved in applying Deep Learning in text mining
- Explore application of deep learning in signal processing
- Utilize Transfer learning for utilizing pre-trained model
- Train a deep learning model on a GPU

Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

Publication date :
Aug 4, 2017

Length
288 pages

Edition :
1st Edition

Language :
English

ISBN-13 :
9781787121089

Category :

Languages :

Concepts :

Tools :

Total
$
82.96
119.97
37.01 saved

$29.99
~~$43.99~~

$24.99
~~$35.99~~

$27.98
~~$39.99~~

=

Total
$
82.96
119.97
37.01 saved

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started

2. Deep Learning with R

3. Convolution Neural Network

4. Data Representation Using Autoencoders

5. Generative Models in Deep Learning

6. Recurrent Neural Networks

7. Reinforcement Learning

8. Application of Deep Learning in Text Mining

9. Application of Deep Learning to Signal processing

10. Transfer Learning

How do I buy and download an eBook?

How can I make a purchase on your website?

Where can I access support around an eBook?

What eBook formats do Packt support?

What are the benefits of eBooks?

What is an eBook?