| Course Code: CS3301 Course Name: Deep Learning Prerequisites: NIL Syllabus: Model Architectures: Recurrent, Attention, Convolution, Transformers, Implementation in Python; Hardware for Deep Learning: Graphics Processing Unit, Tensor Processing Unit; Large Language Models: Pretraining, Finetuning, Reinforcement Learning, Knowledge Distillation; Emerging Concepts: Model Compression, Bias and Ethics, Model security; Texts: 1. Simon J. D. Prince: Understanding Deep Learning, MIT Press, 2023 2. Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola: Dive into Deep Learning, Cambridge University Press, 2024 3. Tanmoy Chakraborty: Introduction to Large Language Models, Wiley India, 2025 |