Master deep learning from the ground up with R and the Keras library in this comprehensive guide. Deep Learning with R, Second Edition teaches you core concepts and practical applications, including image classification, time series forecasting, and natural language processing. Expertly translated for R users, this book provides foundational theory and hands-on techniques for building neural networks, making deep learning accessible to both novices and experienced practitioners. Key features: * Learn deep learning from first principles. * Implement image classification and segmentation. * Tackle time series forecasting and text classification. * Explore advanced topics like text generation and neural style transfer. * Benefit from expert insights and practical examples. Summary: Deep Learning with R, Second Edition by Francois Chollet, Tomasz Kalinowski, and J. J. Allaire. A practical guide to deep learning using R and Keras, covering computer vision, NLP, and more. Ideal for R users with intermediate skills.