Summary

In this chapter, we introduced model training tracking tools. We learned how to track our experiments to obtain higher-quality models and do error analysis. We utilized two tools to monitor training: TensorBoard and W&B. These tools were used to effectively track experiments and to optimize model training.

In the next chapter, we will discuss how to apply self-attention mechanisms to process images.