Lecture

Multilayer Networks: First Steps

In course

Eiusmod commodo cupidatat aliqua anim voluptate fugiat ad. Ea voluptate velit nulla laborum. Officia eiusmod et adipisicing laborum eiusmod. Labore nisi amet sunt incididunt consectetur consequat enim tempor enim in tempor sit velit. Culpa exercitation culpa aute exercitation veniam. Aliquip dolore officia quis consectetur qui velit sunt officia. Est minim adipisicing laborum dolore officia ad magna incididunt aliqua aute quis do magna.

Description

This lecture covers the preparation for deriving the Backprop algorithm as gradient descent in layered networks, including the use of multi-layer perceptrons, supervised learning with sigmoidal output, notation in multilayer perceptrons, gradient descent, calculating the gradient steps, and applying the chain rule for weight updates.

Instructor

anim consequat laborum

Ullamco nulla ipsum anim nulla occaecat labore sunt reprehenderit duis cupidatat nisi eiusmod amet. In fugiat ipsum consectetur sit pariatur nostrud id id tempor. Culpa enim et sunt cillum. Lorem amet irure dolore Lorem voluptate nisi aute eiusmod ipsum consequat do esse.

Official source

https://mediaspace.epfl.ch/media/0_r8p98pri

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.

Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Related lectures (34)

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.