R Deep Learning Solutions [Video]

More Information
Learn
  • Build deep learning models in different application areas using TensorFlow and H2O
  • Analyze a Deep Boltzmann machine
  • Set up and analyze deep belief networks
  • Build 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
  • Understand the fundamentals of Reinforcement Learning
  • Know the steps involved in applying Deep Learning in text mining
  • Explore application of deep learning in signal processing 
  • Utilize transfer learning to utilize a pre-trained model
About

Deep learning is the next big thing. It’s a part of machine learning. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians.

This course will help you resolve problems during the execution of different tasks in deep learning, neural networks, and advanced machine learning techniques. We start with different packages in deep learning, neural networks, and structures. We’ll also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R.

By the end of the course, you’ll have an understanding of deep learning and different deep learning packages so you have the most appropriate solutions for your problems.

Style and Approach

This collection of videos will act as your all-time reference for your deep learning needs.

Features
  • Master the intricacies of R deep learning packages such as TensorFlow
  • Learn deep learning in different domains using practical examples from text, image, and speech
  • A guide to set up deep learning models using CPU and GPU
Course Length 2 hours 36 minutes
ISBN 9781788838771
Date Of Publication 28 Feb 2018

Authors

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.

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.