Lecture

Introduction to Supervised Learning: Classification and Perceptrons

Description

This lecture introduces supervised learning, focusing on classification as a geometric problem. The instructor explains how input vectors are transformed by classifiers, such as neural networks, to produce binary outputs. The lecture emphasizes the process of converting images into vectors and the concept of finding a separating surface in high-dimensional input space for classification tasks. The instructor also discusses discriminant functions and linearly separable problems.

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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.