Deep Learning @ TAU
Course page for teaching materials, 24/25 (Semester B)
Deep Learning @ TAU
This semester of Deep Learning focused on practical neural-network modeling in PyTorch, from optimization and core architectures through sequence models, transformers, and modern generative methods.
Course Materials
Week 0
- Deep Learning 24/5 - S0: Course Intro - During the first lecture
Week 1
- Deep Learning 24/5 - S1: Introduction to Deep Learning - Week 1 +2 lecture slides
Week 2
- Deep Learning 24/5 - S2: Deep Neural Networks - Week 3 +4-ish lecture slides
Week 3
- Deep Learning 24/5 - S3: Convolutional Neural Networks - Week 5 lecture slides
Week 4
- Deep Learning 24/5 - S4: Sequences, RNNs & Transformers - Week 6+7 lecture slides