Put your deep learning skills with R into action!

Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. 

This book is a hands-on guide to deep learning using the R language. As you move through it, you’ll quickly lock in the foundational ideas of deep learning. The intuitive explanations, crisp illustrations, and clear examples guide you through core DL skills like image processing and text manipulation, and even advanced features like transformers.

"Whether you are new to deep learning or wanting to expand your applications in R, there is no better guide."

—Michael Petrey, Boxplot Analytics

Deep Learning with R, Second Edition is based on the revised new edition of François Chollet’s bestselling Deep Learning with Python. All code and examples have been expertly translated to R by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks.

Deep Learning with R, Second Edition is available from its publisher Manning Publications and from Amazon.

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One free eBook code for Deep Learning with R, Second Edition: dlrflrr-7A85