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Subject: Online course: Introduction to Deep Learning in Python
Date: Thu, 27 Mar 2025 14:59:42 +0100 (CET)
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=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