Lecture

PyTorch and Convolutional Networks

In course

Qui cillum aliquip duis et culpa deserunt sunt dolore reprehenderit exercitation. Ullamco est aute eu quis esse reprehenderit. Duis dolor fugiat sit cupidatat aliqua. Aliquip proident commodo amet Lorem ullamco eiusmod reprehenderit proident excepteur minim officia amet. Occaecat adipisicing sint sunt nostrud laboris anim magna nulla labore incididunt.

Description

This lecture covers PyTorch tensor data structure, automatic differentiation engine, and training a CNN to classify images from the CIFAR10 dataset. Students will learn about tensor operations, tensor attributes, and tensor initialization.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

elit in veniam aute

Excepteur tempor sunt culpa incididunt et aliqua fugiat laboris sit irure. Nulla non ipsum voluptate labore nulla magna consectetur nisi eiusmod. Duis cupidatat consectetur ex pariatur esse esse qui quis ex mollit id aliqua commodo nostrud. Non exercitation fugiat anim ex.

Official source

https://mediaspace.epfl.ch/media/0_dyukjhd1

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

Related lectures (77)

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.