Master Deep Learning with R — in Just 2 Days *Deep Learning using R (DLUR01)* is a practical, instructor-led online course designed to take you from the foundations of neural networks to building modern deep-learning models in R. Ideal for researchers, analysts, and data scientists, this workshop blends essential theory with hands-on implementation. What You Will Learn
- The biological and mathematical foundations of neural networks, from perceptrons to deep multilayer architectures. - How to train neural networks using backpropagation, gradient descent, stochastic gradient descent, Adam, regularisation, and other optimization strategies. - How to implement working models in R, including multilayer perceptrons for tabular data, convolutional neural networks for image classification, and transformer-style language models for text. - How to build a minimal GPT-style model from scratch, including tokenisation, embeddings, attention mechanisms, and text generation. - How to select appropriate architectures (MLP, CNN, transformer) based on data characteristics and project goals. Why This Course Stands Out - Two intensive days (6 hours per day) combining theory, guided coding, and real-data examples. - Live online course with full access to recordings after each session. - Option to work with your own data during practical segments. - Continued support and access to materials for 30 days following the course. Who Should Attend - Researchers and data scientists who use R and want to extend their skills into deep learning for images, text, or complex datasets. - Professionals comfortable with R and basic statistical and data-handling concepts who are new to neural networks but want to build practical, working models. - Anyone seeking to learn modern deep-learning methods without needing to switch programming languages. *Next course date:* 23–24 February 2026 (live online) *Course fee:* £300 Take a significant step forward in your data-science capabilities. Register here: https://prstats.org/course/deep-learning-using-r-dlur01/ <https://prstats.org/course/deep-learning-using-r-dlur01/?utm_source=chatgpt.com> -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
