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Deep Learning with R

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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!

Table of Contents takes you straight to the bookdetailed table of contents

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