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R Deep Learning Essentials

- A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition

About R Deep Learning Essentials

This book demonstrates how to use deep Learning in R for machine learning, image classification, and natural language processing. It covers topics such as convolutional networks, recurrent neural networks, transfer learning and deep learning in the cloud. By the end of this book, you will be able to apply deep learning to real-world projects.

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  • Language:
  • English
  • ISBN:
  • 9781788992893
  • Binding:
  • Paperback
  • Pages:
  • 378
  • Published:
  • August 23, 2018
  • Edition:
  • 2
  • Dimensions:
  • 237x189x25 mm.
  • Weight:
  • 734 g.
Delivery: 1-2 weeks
Expected delivery: March 9, 2025

Description of R Deep Learning Essentials

This book demonstrates how to use deep Learning in R for machine learning, image classification, and natural language processing. It covers topics such as convolutional networks, recurrent neural networks, transfer learning and deep learning in the cloud. By the end of this book, you will be able to apply deep learning to real-world projects.

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