R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition
Author:   Mark Hodnett ,  Joshua F. Wiley
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781788992893


Pages:   378
Publication Date:   24 August 2018
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $116.13 Quantity:  
Add to Cart

Share |

R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition


Add your own review!

Overview

Full Product Details

Author:   Mark Hodnett ,  Joshua F. Wiley
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781788992893


ISBN 10:   178899289
Pages:   378
Publication Date:   24 August 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Getting Started with Deep Learning Training a Prediction Model Deep Learning Fundamentals Training Deep Prediction Models Image Classification Using Convolutional Neural Networks Tuning and Optimizing Models Natural Language Processing Using Deep Learning Deep Learning Models Using TensorFlow in R Anomaly Detection and Recommendation Systems Running Deep Learning Models in the Cloud The Next Level in Deep Learning

Reviews

Author Information

Mark Hodnett is a data scientist with over 20 years of industry experience in software development, business intelligence systems, and data science. He has worked in a variety of industries, including CRM systems, retail loyalty, IoT systems, and accountancy. He holds a master's in data science and an MBA. He works in Cork, Ireland, as a senior data scientist with AltViz. Joshua F. Wiley is a lecturer at Monash University, conducting quantitative research on sleep, stress, and health. He earned his Ph.D. from the University of California, Los Angeles and completed postdoctoral training in primary care and prevention. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. He develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now