Course online: Introduction to Deep Learning for Biologists
- Dates: 3–7 November
- Course website: https://www.physalia-courses.org/courses-workshops/course67/
This course introduces the core concepts of deep learning, focusing on its application to biological data. Participants will learn how to build and evaluate deep learning models for classification, regression, and image segmentation tasks, with practical hands-on sessions using Python and Jupyter Notebooks.
Whether you’re new to deep learning or looking to deepen your understanding, this course will help you:
Understand key deep learning architectures (including CNNs)
Frame biological problems for predictive modeling
Build, evaluate, and improve deep learning models
Apply these tools to real-world biological datasets
This course also inspired the Deep Learning for Life Sciences book, authored by the instructors as part of our Decoding Evolution book series.
