R Deep Learning Solutions [Video]

R Deep Learning Solutions [Video]

Achyutuni Sri Krishna Rao, Dr. PKS Prakash

Powerful, independent videos to build deep learning models in different application areas using R libraries
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Video Details

ISBN 139781788838771
Course Length2 hours and 36 minutes

Video Description

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.

Table of Contents

What You Will 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

Authors

Table of Contents

Video Details

ISBN 139781788838771
Course Length2 hours and 36 minutes
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