The final goal of every deep learning project is to bring value to the product. Of course, we want to have the best possible model. What is “best” — depends on the particular use case, and I will leave this discussion aside from this post. I want to talk about how to get the maximum from your train.py script.
Disclaimer: In the next section, I will include a few source-code listings. Most of them are tailored for the Catalyst framework (version 20.08) and available in pytorch-toolbelt.
#tips-and-tricks #deep-learning #pytorch #catalyst #deep learning