Unlock Deep Learning Skills with Live Online Training in Python and R Deep learning is at the core of modern data science, powering breakthroughs in image analysis, natural language processing, pattern recognition and predictive modelling. Whether you prefer Python or R, we now offer two dedicated live online courses that teach deep learning from first principles with hands-on implementations using real data.
--- Deep Learning Using Python (DLUP01) https://prstats.org/course/deep-learning-using-python-dlup01/ A practical introduction to deep learning using Python and PyTorch. Learn foundational concepts — neural networks, backpropagation, optimization — and build modern models such as multilayer perceptrons (MLPs), convolutional neural networks (CNNs) and transformers. Gain experience implementing models in PyTorch with real datasets and explore state-of-the-art workflows for text and image tasks. Dates: 14-15 April 2026 Format: Live online (recordings available) Duration: 2 days, 6 hours per day Fee: £300 Suitable for participants new to deep learning who want to learn practical, research-ready Python workflows. --- Deep Learning Using R (DLUR01) https://prstats.org/course/deep-learning-using-r-dlur01/ A companion course in R, using the torch ecosystem to build and deploy deep learning models.Covers the conceptual and mathematical foundations of neural networks, and walks through implementations of MLPs, CNNs and transformer architectures directly in R. Includes hands-on coding, practical model training, evaluation and modern architectures for use in real research workflows. Dates: 23–24 April 2026 Format: Live online (recordings available) Duration: 2 days, 6 hours per day Fee: £300 Ideal for R users who want to apply deep learning without switching programming languages.Both courses provide interactive instruction, practical coding exercises and worked examples that build confidence in applying deep learning to real problems. --- Each course uses recordings and supportive teaching formats to ensure accessibility across time zones and backgrounds. Learn more and register: Deep Learning Using Python: https://prstats.org/course/deep-learning-using-python-dlup01/ Deep Learning Using R: https://prstats.org/course/deep-learning-using-r-dlur01/ These courses are suitable for data scientists, researchers, analysts and anyone seeking to develop practical deep learning expertise in their preferred programming environment. Please email [email protected] with any questions -- 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
