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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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Deep learning on Amazon Web Services

Amazon Web Services (AWS) offers scalable, reliable, and easy to use on-demand cloud computing platforms and APIs on a pay-as-you-go basis. It is a comprehensive platform that provides access to numerous services such as computing, security services, analytics, database, storage, developer tools, and many other Infrastructures as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) offerings. With this wide range of services available to individuals, profit and non-profit enterprises, and educational institutions, AWS is considered one of the most successful cloud infrastructure companies, holding the majority of the market share. In this section, we will primarily work with EC2, which is a virtual computing environment. We will also use an Amazon Machine Image (AMI) for deep learning using R. AMI has software...

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Authors (3)

Gupta

Swarna Gupta holds a B.E. in computer science and has 6 years of experience in the data science space. She is currently working with Rolls Royce in the capacity of a data scientist. Her work revolves around leveraging data science and machine learning to create value for the business. She has extensively worked on IoT-based projects in the vehicle telematics and solar manufacturing industries.During her current association with Rolls Royce she worked in various deep learning techniques and solutions to solve fleet issues in aerospace domain. She also manages time from her busy schedule to be a regular pro-bono contributor to social organizations, helping them to solve specific business problems with the help of data science and machine learning.

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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

Dipayan Sarkar holds a Masters in Economics and comes with 17+ years of experience. Dipayan has won international challenges in predictive modeling and takes a keen interest in the mathematics behind machine learning techniques. Before opting to become an independent consultant and a mentor in the data science and machine learning space with various organizations and educational institutions, he had served in the capacity of a senior data scientist with Fortune 500 companies in the US and Europe. He is currently associated with Great Lakes Institute of Management as a visiting faculty (Analytics) and BML Munjal University as an adjunct faculty (Analytics and Machine Learning). He has co-authored a book on "Ensemble Machine Learning with Python" with PACKT Publishing.

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