Attention? Attention!

1. 1Understand the motivation behind attention mechanisms
2. 2Learn about different types of attention, such as self-attention and soft vs hard attention
3. 3Explore various attention-based models, including Transformer and Pointer Network

ML researchers and engineers can benefit from understanding attention mechanisms to improve model performance, especially in NLP and computer vision tasks

💡 Attention mechanisms allow models to focus on specific parts of the input data, enhancing their ability to learn complex patterns

💡 Attention mechanisms in deep learning mimic human visual attention, improving model performance in NLP & CV tasks