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
Neural Network: Random Features and Kernel Regression
Description
This lecture covers the concept of random features in neural networks, focusing on regression with non-polynomial features extracted from PDFs. It explains the equivalence between kernel regression and neural network terminology, emphasizing the use of random features to approximate kernel functions.
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.