Conclusion
Explore essential concepts and practical applications of transformers in computer vision. Understand attention mechanisms, inductive bias, and their roles in image classification, object detection, and video analysis. This lesson wraps up how transformer models advance visual deep learning tasks and prepares you for further study.
To conclude our exploration of transformers in computer vision, let's summarize the main takeaways discussed throughout the course.
Attention mechanisms and inductive bias
We started our journey by exploring attention mechanisms, highlighting their role as a fundamental concept in deep learning. The crucial notion of inductive bias was introduced, illustrating the spectrum from weak to strong inductive biases within neural networks. This concept was framed by considering neural networks as graphs, emphasizing the impact of graph connectivity ...