Attention Mechanisms and Transformer Models Course

This deep learning course provides a comprehensive introduction to attention mechanisms and transformer models the foundation of modern GenAI systems. Begin by exploring the shift from traditional neural networks to attention-based architectures. Understand how additive, multiplicative, and self-attention improve model accuracy in NLP and vision tasks. Dive into the mechanics of self-attention and how it powers models like GPT and BERT. Progress to mastering multi-head attention and transformer components, and explore their role in advanced text and image generation. Gain real-world insights t…