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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

Tools

H2O

Concepts

Deep Learning

Authors (3):

Swarna Gupta

Rehan Ali Ansari

Dipayan Sarkar

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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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Accelerating with MXNet

MXNet stands for mix and maximize. It is a flexible and scalable deep learning framework that is used to develop and deploy deep learning models. It is capable of running on various heterogeneous systems in a memory-efficient way. MXNet is also supported by various cloud providers such as Amazon Web Services and Microsoft Azure. Developers have the flexibility to go for both imperative and symbolic programming, making it easier for debugging and hyperparameter tuning while maximizing efficiency. Another advantage that MXNet offers is that it supports multiple languages such as Python, R, Scala, Clojure, Julia, Perl, MATLAB, and JavaScript. In this recipe, we will demonstrate how to set up MXNet in Windows and Linux systems.

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Authors (3)

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

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

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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