Deep Learning with R, Third Edition - Tomasz Kalinowski - Hardback Bog - Manning Publications - 2026 - Engelsk - Booktok.dk

Description

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.