Dear all,

Join our online course “Introduction to Deep Learning for Biologists”, taking place 23–27 November, designed for advanced students, researchers, and professionals interested in applying deep learning to real-world biological problems.

Course website: https://www.physalia-courses.org/courses-workshops/course67/

What you will learn:

• Fundamental concepts and building blocks of deep learning
• Deep learning applications in biological classification and prediction
• Convolutional Neural Networks (CNNs) for image recognition and segmentation
• Regression, classification, model evaluation, and cross-validation
• Data preprocessing, augmentation, and handling unbalanced datasets
• Hands-on training using Python, Jupyter Notebooks, and Linux
• Applications of deep learning to biological and -omics data

The five-day programme combines interactive lectures, practical hands-on exercises, collaborative problem-solving, and discussions with instructors. Participants will also have the opportunity to explore how deep learning can be applied to their own research questions during a dedicated post-course session.

No previous deep learning experience is required. Basic knowledge of Python is helpful but not essential.

This course inspired the Deep Learning for Life Sciences book, written by the instructors and published as part of Physalia’s Decoding Evolution book series.

Best regards,

Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR