R Deep Learning Cookbook

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  • Build deep learning models in different application areas using TensorFlow, H2O, and MXnet.
  • Analyzing a Deep boltzmann machine
  • Setting up and Analysing Deep belief networks
  • Building supervised model using various machine learning algorithms
  • Set up variants of basic convolution function
  • Represent data using Autoencoders.
  • Explore generative models available in Deep Learning.
  • Discover sequence modeling using Recurrent nets
  • Learn fundamentals of Reinforcement Leaning
  • Learn the steps involved in applying Deep Learning in text mining
  • Explore application of deep learning in signal processing
  • Utilize Transfer learning for utilizing pre-trained model
  • Train a deep learning model on a GPU

Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians.

This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance.

By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.

  • Master intricacies of R deep learning packages such as mxnet & tensorflow
  • Learn application on deep learning in different domains using practical examples from text, image and speech
  • Guide to set-up deep learning models using CPU and GPU
Page Count 288
Course Length 8 hours 38 minutes
ISBN 9781787121089
Date Of Publication 3 Aug 2017


Dr. 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.

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 Krishna’s background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelor’s 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.