Deep Learning with R, Second Edition, Video Edition

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Deep learning from the ground up using R and the powerful Keras library!
In
Deep Learning with R, Second Edition
you will 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
Deep Learning with R, Second Edition
shows you how to put deep learning into action. It’s based on the revised new edition of François Chollet’s bestselling
Deep Learning with Python
. All code and examples have been expertly translated to the R language 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.
About the Technology
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 shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R.
About the Book
Deep Learning with R, Second Edition
is a hands-on guide to deep learning using the R language. As you move through this book, 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. This revised and expanded new edition is adapted from
Deep Learning with Python, Second Edition
by François Chollet, the creator of the Keras library.
What's Inside
Image classification and image segmentation
Time series forecasting
Text classification and machine translation
Text generation, neural style transfer, and image generation
About the Reader
For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.
About the Authors
François Chollet
is a software engineer at Google and creator of Keras.
Tomasz Kalinowski
is a software engineer at RStudio and maintainer of the Keras and Tensorflow R packages.
J.J. Allaire
is the founder of RStudio, and the author of the first edition of this book.
Quotes
A must-have for scientists and technicians who want to expand their knowledge.
- Fernando García Sedano, Grupo Epelsa
Whether you are new to deep learning or wanting to expand your applications in R, there is no better guide.
- Michael Petrey, Boxplot Analytics
The clear illustrations and insightful examples are helpful to anybody, from beginners to experienced deep learning practitioners.
- Edward Lee, Yale University
Outstandingly well written.
- Shahnawaz Ali, King’s College London