There are the last seats available for the 3rd edition of the course Introduction to Deep Learning for biologists
Dates: Online, September 26th-30th
Course website: https://www.physalia-courses.org/courses-workshops/course67/
The course is aimed at advanced students, researchers, and professionals interested in learning what deep learning is and how to develop a deep learning model for applications in biology. It will include information useful for both absolute beginners and more advanced users willing to delve into some aspects of the implementation of deep learning. We will start by introducing general concepts of deep learning presenting a functioning model and then we will progressively describe the main building blocks of a deep learning model and how the internal machinery works. Attendees are expected to have a background in biology and the research problems involving prediction, inference, and pattern discovery; previous exposure to predictive experiments would be beneficial. There will be a mix of lectures and hands-on practical exercises using mainly Python, Jupyter Notebooks, and the Linux command line. Some basic understanding of Python programming and the Linux environment will be advantageous but is not required.
Full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops
