Deep Learning with R

François Chollet with J. J. Allaire

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Slideshare: Deep Learning for R Users
Article: Deep Learning for Text Classification with Keras
Article: Image Classification on Small Datasets with Keras
Article: Time Series Forecasting with Recurrent Neural Networks
Source code on GitHub
Article: Time Series Forecasting with Recurrent Neural Networks
Article: Image Classification on Small Datasets with Keras
Article: Deep Learning for Text Classification with Keras
Deep Learning with R in Motion
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The clearest explanation of deep learning I have come across...it was a joy to read.

*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.

If you’re looking to dig further into deep learning, then *Deep Learning with R in Motion* is the perfect next step. This video course offers more examples, exercises, and skills to help you lock in what you learn!

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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.

*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.

- Deep learning from first principles
- Setting up your own deep-learning environment
- Image classification and generation
- Deep learning for text and sequences

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An excellent hands-on introductory title, with great depth and breadth.

Bridges the gap between the hype and a functioning deep-learning system.

All major topics and concepts of deep learning are covered and well explained, using code examples and diagrams instead of mathematical formulas.

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