Loss Function

Loss Function is a method of evaluating how well specific algorithm models perform based on the given data. If the model predictions deviates too much from the actual results, the loss function would report a very large number, and on the contrary, if the model predictions are close to the actual results, the loss function reports smaller numbers.


Join the innovative enterprises using cnvrg.io to build, train & deploy their models faster.

schedule a demo today

Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

Download cnrvg CORE for Free

By submitting this form, I agree to cnvrg.io’s
privacy policy and terms of service.