Skip to content
#

deep-metric-learning

Here are 35 public repositories matching this topic...

zabzug-pfpt
zabzug-pfpt commented Sep 1, 2020

Let's say I set m=8 and batch_size=32, and I have eight classes (A-H). That should mean that each batch is comprised of samples from only four classes, and each class is only represented in a single batch. That would then mean that samples from Class A could be in negative pairs with samples from Classes B-D, but never with samples from Classes E-H. Is that all correct?

How then does this i

Improve this page

Add a description, image, and links to the deep-metric-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the deep-metric-learning topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.