Deep Learning with R-Manning (2022)
English | eBook | Size: 48.66 MB
Deep learning from the ground up using R and the powerful Keras library! This second edition, based on François Chollet’s bestselling Deep Learning with Python, is expertly translated to R by Tomasz Kalinowski, with all code and examples tailored for R users. Dive into deep learning with intuitive explanations, practical techniques, and foundational principles for building neural networks in R. Ideal for novices and experienced ML practitioners alike.
What You’ll Learn
Deep learning from first principles
Image classification and image segmentation
Time series forecasting
Text classification and machine translation
Text generation, neural style transfer, and image generation
About the Technology
Deep learning has transformed data science, research, and software development. The R language, with Keras and TensorFlow APIs, makes this powerful technology accessible to all R users. This book guides you through starting with deep learning in R for tasks like computer vision, natural language processing, and more.
About the Book
A hands-on guide to deep learning using the R language, presenting foundational ideas, core DL skills, and advanced features like transformers. Adapted from Deep Learning with Python, Second Edition by Keras creator François Chollet, this book is packed with crisp illustrations, clear examples, and practical techniques.
What’s Inside
Image classification and segmentation
Time series forecasting
Text classification, machine translation, and generation
Neural style transfer, and image generation
About the Reader
For readers with intermediate R skills. No prior experience with Keras, TensorFlow, or deep learning required.
About the Authors
François Chollet, a Google software engineer and Keras creator; Tomasz Kalinowski, a software engineer at RStudio and Keras, TensorFlow R packages maintainer; and J.J. Allaire, RStudio founder and first edition author.
RAPIDGATOR
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TURBOBIT
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