Deep Learning with R - Grand Format

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.
What's Inside : Deep learning from first principles ; Setting up your own deep-learning environment ; Image classification and generation ; Deep learning for text and sequences. You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed.