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 franois chollet and adapted for r by rstudio founder j j allaire this book builds your understanding of deep learning through intuitive explanations and . 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 purchase of the print book includes a free ebook in pdf kindle and . The series is a companion to the deep learning with r book by francois chollet and jj allaire like the videos the book has excellent high level explanations of deep learning concepts at the same time it contains lots of ready to use code presenting examples for all the major architectures and use cases including fancy stuff like . He explains the need for keras and why its simplicity and ease makes it a useful deep learning library for developers to experiment and build with franois chollet is the author of keras and the founder of wysp learning platform for artists he currently works for google as a deep learning engineer and researcher. Deep learning consists of chaining together simple layers that will implement a form of progressive data distillation a deep learning model is like a sieve for data process ing made of a succession of increasingly refined data filters the layers here our network consists of a sequence of two layers which are densely con nected also called
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