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Book synopsis

Ready to bring R code into the AI era? Stop switching languages. Build deep learning models in pure R. Master GPT-style transformers and diffusion. Skip complex math. Launch production-ready solutions confidently. Keras 3 interface: Code modern neural networks with the simplicity R users love. Vision, text, and time series: Apply models that classify images, translate text, and predict demand. Transformers and LLMs: Generate fluent language and summaries without Python detours. Diffusion imagery: Create new pictures and explore generative art inside RStudio. Scaling and tuning: Fine-tune hyperparameters for faster training and top-tier accuracy. Interpretability tools: Explain model decisions to bosses, regulators, and stakeholders. Deep Learning with R, Third Edition pairs Keras creator François Chollet with R expert Tomasz Kalinowski to deliver an authoritative guide. Step-by-step chapters move from first principles to advanced projects. Clear code, concise explanations, and runnable notebooks keep learning practical. New coverage of transformers, diffusion, and GPT-style language models brings bleeding-edge AI to R. By book’s end, you will design, train, and deploy high-performing models, interpret their outputs, and scale them for production. Your R workflow becomes an AI powerhouse. Ideal for data scientists and analysts with intermediate R skills who crave modern deep learning capabilities.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Full title: Deep Learning with R, Third Edition
• Author: Tomasz Kalinowski
• Language: English
• Binding: Paperback
• Number of pages: 625
• EAN: 9781633435186
• ISBN: 1633435180
• ID: 49418159
• Publisher: Manning Publications
• Weight: 744 g
• Date of publishing: 25. November 2025

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