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Deep Learning with R Cookbook

You're reading from Deep Learning with R Cookbook Over 45 unique recipes to delve into neural network techniques using R 3.5.x

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781789805673

Length 328 pages

Edition 1st Edition

Languages

R

Tools

H2O

Concepts

Deep Learning

Authors (3):

Swarna Gupta

Rehan Ali Ansari

Dipayan Sarkar

View More author details

Table of Contents (11) Chapters

Preface

1. Understanding Neural Networks and Deep Neural Networks

2. Working with Convolutional Neural Networks FREE CHAPTER

3. Recurrent Neural Networks in Action

4. Implementing Autoencoders with Keras

5. Deep Generative Models

6. Handling Big Data Using Large-Scale Deep Learning

7. Working with Text and Audio for NLP

8. Deep Learning for Computer Vision

9. Implementing Reinforcement Learning

10. Other Books You May Enjoy

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Sections

In this book, you will find several headings that appear frequently (Getting ready, How to do it..., How it works..., There's more..., and See also).

To give clear instructions on how to complete a recipe, use these sections as follows:

Getting ready

This section tells you what to expect in the recipe and describes how to set up any software or any preliminary settings required for the recipe.

How to do it…

This section contains the steps required to follow the recipe.

How it works…

This section usually consists of a detailed explanation of what happened in the previous section.

There's more…

This section consists of additional information about the recipe in order to make you more knowledgeable about the recipe.

See also

This section provides helpful links to other useful information for the recipe.

The rest of the chapter is locked

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Authors (3)

Gupta

Gupta

Rakesh Gupta is best known as an automation champion in the Salesforce ecosystem. He has written over 150 articles on Visual Workflow and Process Builder to show how someone can use Visual Workflow and Process Builder to minimize code usage. He is one of the Visual Workflow and Process Builder experts in the industry. He has trained more than 700 individual professionals around the globe and conducted corporate training. Currently, Rakesh is working as a Salesforce solution architect consultant.

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Ansari

Ansari

Rehan has a bachelors in Electrical and Electronics engineering with 5 years of experience in data science and machine learning field. He is currently associated with the digital competency at AP Moller Maersk Group in the capacity of a data scientist. He has a diverse background of working in multiple domains like fashion retail, IoT, renewable energy sector and trade finance. He is a strong believer of agile way of developing data driven machine learning and AI products. Out of his busy schedule he manages to explore new areas in the field of AI and robotics.

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Sarkar

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

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