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R Deep Learning Cookbook
R Deep Learning Cookbook

R Deep Learning Cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet

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Profile Icon PKS Prakash Profile Icon Sri Krishna Rao
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€18.99 per month
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1 (1 Ratings)
Paperback Aug 2017 288 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
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Arrow left icon
Profile Icon PKS Prakash Profile Icon Sri Krishna Rao
Arrow right icon
€18.99 per month
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1 (1 Ratings)
Paperback Aug 2017 288 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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R Deep Learning Cookbook

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Key benefits

  • 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

Description

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.

Who is this book for?

Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 04, 2017
Length: 288 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121089
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Product Details

Publication date : Aug 04, 2017
Length: 288 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121089
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


Stars icon
Total 111.97
Mastering Machine Learning with R, Second Edition
€41.99
Neural Networks with R
€32.99
R Deep Learning Cookbook
€36.99
Total 111.97 Stars icon
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Table of Contents

10 Chapters
Getting Started Chevron down icon Chevron up icon
Deep Learning with R Chevron down icon Chevron up icon
Convolution Neural Network Chevron down icon Chevron up icon
Data Representation Using Autoencoders Chevron down icon Chevron up icon
Generative Models in Deep Learning Chevron down icon Chevron up icon
Recurrent Neural Networks Chevron down icon Chevron up icon
Reinforcement Learning Chevron down icon Chevron up icon
Application of Deep Learning in Text Mining Chevron down icon Chevron up icon
Application of Deep Learning to Signal processing Chevron down icon Chevron up icon
Transfer Learning Chevron down icon Chevron up icon

Customer reviews

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(1 Ratings)
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1 star 100%
supersuntech Dec 22, 2017
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Please wait for the author to complete the book. The way the book is structured it is a well thought out template for a cookbook. The book has the skeletal structure and, imagine, the authors are working on it to complete it soon. Can not wait for the book.
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