Deep Learning (Postgraduate) — Fall 2025 — ITU Istanbul
A 12-week postgraduate course covering fundamentals and modern deep learning architectures with emphasis on theory, implementation, and research discussions. Includes weekly lectures, coding sessions, and a final project.
Syllabus & materials (click to collapse)
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Week 1 Introduction to Deep Learning
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Week 2 Unsupervised Feature Learning as a Gateway to CNNs
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Week 3 Convolutional Neural Networks (CNNs)
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Week 4 Sequence Modeling — RNNs and LSTMs
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Week 5 Transformers
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Week 6 Large Language Models, MoE, DeepSeek
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Week 7 Generative Modeling (AE, VAE, GANs)
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Week 8 Generative Modeling — Autoregressive Models
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Week 9 Normalizing Flows and SDE
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Week 10 Self-Supervised Learning
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Week 11 Research Topics, Applications & Final Project Presentations
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Week 12 Final Project Presentations