Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Interpreting Output as Probability
Description
This lecture explores the conditions necessary to interpret the output of a neural network as a probability, focusing on the cross-entropy error function for classification tasks. By ensuring a large dataset and a flexible network, it becomes possible to derive probabilities from the network's output.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.