Deep Learning for Biology is a practical, project-driven course designed to bridge the gap between modern machine learning and real-world life science problems. Whether you are a biologist eager to acquire computational skills or a data scientist looking to apply your expertise to the complex world of biology, this course provides a clear, approachable path to developing and interpreting deep learning models. The course emphasizes hands-on learning through self-contained projects using Python and the JAX/Flax deep learning ecosystem. Participants will move beyond abstract theory by building and debugging end-to-end workflows for diverse biological data.
Next Delivery Date: Spring 2027