Back to List
Lecturer
Ioannis Pitas, pitas@csd.auth.gr
Content and organization
This short course offers a good overview to all current progress in Deep Learning. It is ideal for persons (scientists, engineers, students, AI enthusiasts) interested in AI upskilling or reskilling. The only background knowledge needed is Mathematics (Calculus, Linear Algebra, Probability Theory) that are included in any Science or Engineering Curriculum. Persons coming from other backgrounds, e.g., Medicine or Linguistics, can also benefit, if they have some mathematical knowledge.
The course starts with an introduction to Machine Learning, namely clustering, classification, regression and their applications. More advanced topics, e.g., federated learning, continual learning, knowledge distillation are also overviewed. Then, Artificial Neural Networks (ANNs) are presented, in particular Perceptron, Multilayer Perceptron and their training based on Backpropagation. State-of-the-Art Deep Neural Networks (DNNs) are detailed, including Convolutional Neural Networks (CNNs) and Attention and Transformers Networks. Finally, all aspects of Generative AI are overviewed, namely the Large Language Models (e.g., ChatGPT), Generative Adversarial Networks and Diffusion Models used in Multimedia Creation.
This short course provides educational background for the AIDA Symposium and Summer School on ‘AI/ML Cutting Edge Trends’ (AIDA AICET2025 and is part of it. AIDA AICET 2025 will take place (remote/local participation) at the KEDEA building from July 14-18, 2025. Participants can attend this pre-symposium course independently, without the obligation to enroll in the full AIDA Symposium and Summer School.
LECTURES
- Introduction to Machine Learning
- Artificial Neural Networks. Perceptron
- Multilayer Perceptron. Backpropagation.
- Convolutional Neural Networks
- Attention and Transformers Networks
- Large Language Models
- Generative Adversarial Networks in Multimedia Creation
- Generative AI and Diffusion Models
Registration: https://icarus.csd.auth.gr/pre-symposium-introductory-short-course-on-deep-learning/
If you are an AIDA Student* already, on top of the above registration, enroll on this course using the button “ENROLL ON THIS COURSE” below, so that this course is included on your AIDA Certificate of Course Attendance, upon successful course participation (attendance of at least 70% of the scheduled course lectures).
*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members list.
Course Type
Short Course
Schedule
Language
English
Modality (online/in person):
This course is hybrid (local/remote participation). Local participation: KEDEA building, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. Remote participation: Zoom link will be available in due time.
Host Institution
Other short courses
