Open Internet by MindsNet

Debugging data issues in neural network training

Debugging neural network training runs can be time-consuming and frustrating, especially when issues are caused by data problems such as mislabels, class imbalance, and outliers. Current methods often require waiting for the entire training run to complete before identifying issues. This can lead to significant delays and inefficiencies in the development process.

Computing & Technology, Computer Science, Machine Learning