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Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles

โœ Scribed by Ciaburro, Giuseppe;Venkateswaran, Balaji

Publisher
Packt Publishing
Year
2017
Tongue
English
Category
Library
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โœฆ Synopsis

Uncover the power of artificial neural networks by implementing them through R code.

About This Book

  • Develop a strong background in neural networks with R, to implement them in your applications
  • Build smart systems using the power of deep learning
  • Real-world case studies to illustrate the power of neural network models

    Who This Book Is For

    This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!

    What You Will Learn

  • Set up R packages for neural networks and deep learning
  • Understand the core concepts of artificial neural networks
  • Understand neurons, perceptrons, bias, weights, and activation functions
  • Implement supervised and unsupervised machine learning in R for neural...

    • โœฆ Subjects

    Artificial intelligence;Machine learning;Neural networks (Computer science);R (Computer program language)

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