Introducing TensorWatch: Microsoft Research New Tool for Debugging Deep Learning Programs

Debugging is one of the most difficult aspects in the lifecycle of deep learning problems. The recent advancements in deep learning frameworks have lowered the entry point for creating really sophisticated models that are both effective and hard to interpret at the same time. Very often, researchers need to understand why the metrics of a specific model are trending in certain direction and they rely on relatively subjective techniques to do so. Additionally, the ecosystem of debugging and visualization tools hasn't evolved at the same speed of the development stacks so very often engineers end up creating models that are next to impossible to debug. Recently, Microsoft Research open sourced TensorWatch, a new tools that takes a new approach to solve the debugging and visualization of deep learning programs.