Dear all, We're excited to announce that only a few seats remain for our upcoming online course, Introduction to Deep Learning for Biologists, scheduled from September 30 to October 4. Course website: ( https://www.physalia-courses.org/courses-workshops/course67/ ) This course will introduce the theoretical framework and practical skills needed to develop deep learning models for biological data. You'll learn how to apply Convolutional Neural Network (CNN) architectures to real-world data classification, regression, and image segmentation problems. We'll also cover essential topics like measuring prediction performance, cross-validation, and avoiding overfitting. The course is structured over five days, with a combination of lectures and hands-on sessions. Each day will feature interactive discussions and collaborative exercises where you can apply the skills you've learned. You'll also have the opportunity to interpret and discuss your results with instructors and peers. This course is perfect for students, researchers, and professionals interested in deep learning applications in biology. Whether you're a beginner or have some experience with deep learning, this course will provide valuable insights. A basic understanding of Python is helpful but not required. By the end of the course, you will have gained a solid understanding of: The foundational concepts and architecture of deep learning models. How to frame biological problems for deep learning applications. Techniques for building, evaluating, and optimizing deep learning models. Best practices for working with real-world biological data. For the full list of our courses and workshops, please visit: ( https://www.physalia-courses.org/courses-workshops/course67/ ) Best regards, Carlo Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 "info@physalia-courses.org" (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)