=0ADear all,=0AWe are pleased to invite you to our upcoming online course: =
Introduction to Deep Learning for Biologists=0A Dates: 3-7 November 2025 F= ormat: Online=0ACourse website: [
https://www.physalia-courses.org/courses-= workshops/course67/ ](
https://www.physalia-courses.org/courses-workshops/c= ourse67/ )=0A =0A =0AThis course will provide a practical introduction to d= eep learning and its applications in biological research. Participants will=
learn:=0A- The fundamentals of deep learning architectures- How to apply=
Convolutional Neural Networks (CNNs) to classification, regression, and im= age segmentation tasks- Best practices for evaluating model performance an=
d avoiding overfitting=0A- Hands-on implementation using Python, Jupyter No= tebooks, and Linux=0A =0A =0AThis course is designed for students, research= ers, and professionals interested in integrating deep learning into their w= ork. Prior programming experience is helpful but not required.=0A =0ABest r= egards,=0ACarlo=0A =0A =0A--------------------=0A=0ACarlo Pecoraro, Ph.D=0A= =0A=0APhysalia-courses DIRECTOR=0A=
0Ainfo@physalia-courses.org=0A=0Amobile:=
+49 17645230846=0A=0A[ Bluesky ](
https://bsky.app/profile/physaliacourses= ..bsky.social ) [ Linkedin ](
https://www.linkedin.com/in/physalia-courses-a= 64418127/ )=0A=0A
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