Overview

Deep Learning in R: From Foundations to Production is a comprehensive, hands-on guide for data scientists, analysts, and R developers who want to master modern deep learning without leaving the R ecosystem. Using the power of the torch package and the elegance of the tidyverse workflow, this book takes readers from the very basics of neural networks to building, training, and deploying robust AI models in real-world applications. With clear explanations, practical examples, and a narrative style that connects technical detail to real-life problem-solving, this book bridges the gap between theory and practice. It covers essential deep learning concepts, data preprocessing pipelines, model optimization, reproducible workflows, and deployment strategies-all within R. Whether you are a machine learning beginner or an experienced R user looking to expand into AI, this guide equips you with the skills to design production-ready models and the confidence to apply them effectively.

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