Szczegóły ebooka

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

PKS Prakash, Achyutuni Sri Krishna Rao

Ebook
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.
  • 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 in Signal processing
  • 10. Transfer learning
  • Tytuł: R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
  • Autor: PKS Prakash, Achyutuni Sri Krishna Rao
  • Tytuł oryginału: R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
  • ISBN: 9781787127111, 9781787127111
  • Data wydania: 2017-08-04
  • Format: Ebook
  • Identyfikator pozycji: e_15nt
  • Wydawca: Packt Publishing