Deep Learning with R
Deep Learning with R, pdf, 48.66 MB
Title: Deep Learning with R, Second Edition
Author: François Chollet with Tomasz Kalinowski and J. J. Allaire
Language: English
Year: 2018
Categories: Natural Language Processing, Machine Theory, Computer Neural Networks
ISBN: 978-1617295546
Description: Summary
Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.
Continue your journey into the world of deep learning with Deep Learning with R in Motion , a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-learning-with-r-in-motion).
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks.
About the Book
Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.
What's Inside
- Deep learning from first principles
- Setting up your own deep-learning environment
- Image classification and generation
- Deep learning for text and sequences
About the Reader
You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed.
About the Authors
François Chollet is a deep-learning researcher at Google and the author of the Keras library.
J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras.
Table of Contents
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PART 1 - FUNDAMENTALS OF DEEP LEARNING - What is deep learning?
- Before we begin: the mathematical building blocks of neural networks
- Getting started with neural networks
- Fundamentals of machine learning
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PART 2 - DEEP LEARNING IN PRACTICE - Deep learning for computer vision
- Deep learning for text and sequences
- Advanced deep-learning best practices
- Generative deep learning
- Conclusions
Publisher: Manning Publications; 1st edition
Pages: 568
Files: Deep Learning with R.pdf (48.66 MB)
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https://nitroflare.com/view/4C5D48643178B56/Deep_Learning_with_R.pdf
Code:
https://rapidgator.net/file/c86c1ee713c7bdda4dd5f111f1f4c4fb/Deep_Learning_with_R.pdf