Overview

Deep Learning with R: From Foundations to Deployment is a complete, hands-on guide for mastering modern neural networks using R and the torch ecosystem. Whether you are a data scientist, analyst, or R programmer looking to expand into AI, this book takes you from the fundamentals of tensors and model building to advanced architectures, optimization, and production deployment. Through real-world examples in computer vision, natural language processing, and time series forecasting, you'll learn how to design, train, tune, and serve state-of-the-art models - all within R. You'll also explore cloud-based training, performance profiling, and model monitoring, ensuring your solutions remain robust and scalable. With practical code templates, a dedicated R torch cheat sheet, and troubleshooting guides, this book is both a learning resource and a long-term reference for deep learning practitioners in R.

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