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| From | "info@physalia-courses.org" <info@physalia-courses.org> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Online course: Introduction to Deep Learning in Python |
| Date | 2025-03-27 14:59 +0100 |
| Message-ID | <mailman.143.1743088611.2912.python-list@python.org> (permalink) |
| References | <1743083982.746418398@webmail.jimdo.com> |
Dear all, We are pleased to invite you to our upcoming online course: Introduction to Deep Learning for Biologists Dates: 3-7 November 2025 Format: Online Course website: [ https://www.physalia-courses.org/courses-workshops/course67/ ]( https://www.physalia-courses.org/courses-workshops/course67/ ) This course will provide a practical introduction to deep learning and its applications in biological research. Participants will learn: - The fundamentals of deep learning architectures- How to apply Convolutional Neural Networks (CNNs) to classification, regression, and image segmentation tasks- Best practices for evaluating model performance and avoiding overfitting - Hands-on implementation using Python, Jupyter Notebooks, and Linux This course is designed for students, researchers, and professionals interested in integrating deep learning into their work. Prior programming experience is helpful but not required. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )
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Online course: Introduction to Deep Learning in Python "info@physalia-courses.org" <info@physalia-courses.org> - 2025-03-27 14:59 +0100
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