Lecture 1 & 2: Introduction to DL/ML
Lecture 3: CNN
Lecture 4: Self Attention
Lecture 5: Transformer
Lecture 6: GAN
Lecture 7: Self-supervised Learning
Lecture 8: Adversarial Attack
Lecture 9: Explainable AI
Lecture 10: Reinforcement Learning
Lecture 11: Life Long Learning
Lecture 12: Domain Adaptation
Lecture 13: Network Compression
Lecture 14: Meta Learning