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R Deep Learning Cookbook

You're reading from R Deep Learning Cookbook

Product type Book

Published in Aug 2017

Publisher Packt

ISBN-13 9781787121089

Pages 288 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

PKS Prakash

Achyutuni Sri Krishna Rao

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started

2. Deep Learning with R

3. Convolution Neural Network

4. Data Representation Using Autoencoders

5. Generative Models in Deep Learning

6. Recurrent Neural Networks

7. Reinforcement Learning

8. Application of Deep Learning in Text Mining

9. Application of Deep Learning to Signal processing

10. Transfer Learning

Introducing and preprocessing music MIDI files

In this recipe, we will read a repository of Musical Instrument Digital Interface (MIDI) files and preprocess them into a suitable format for an RBM. MIDI is one of the formats of storing musical notes, which can be converted to other formats such as .wav, .mp3, .mp4, and so on. MIDI file formats store various kinds of events such as Note-on, Note-off, Tempo, Time Signature, End of track, and so on. However, we will primarily be focusing on the type of note--when it was turned on, and when it was turned off.

Each song is encoded into a binary matrix, where rows represent time, and columns represent both turned on and turned off notes. At each time, a note is turned on and the same note is turned off. Suppose that, out of n notes, note i is turned on and turned off at time j, then positions Mji = 1 and Mj(n+i) = 1, and the rest Mj = 0.

All the rows together form a song. Currently, in this chapter, we will be leveraging Python codes to encode MIDI...

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Authors (2)

PKS Prakash

Dr. PKS Prakash is a data scientist and author. He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.

See other products by PKS Prakash

Achyutuni Sri Krishna Rao

Achyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates. Sri Krishnas background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelors from National Institute of Technology Warangal, India. Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled Algorithms and Data Structures using R published by PACKT.

See other products by Achyutuni Sri Krishna Rao

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