·93 min read·advanced
Backpropagation Part 3: Systems, Stability, Interpretability, Frontiers
Theory assumes infinite precision; hardware delivers float16. Bridge the gap between mathematical backprop and production systems. In this post, we cover a lot of "practical" ground from PyTorch's tape to mixed precision training, from numerical disasters to systematic testing, from gradient monitoring to interpretability. What breaks, why, and how to fix it.