DLAI 2017 edition – part 1 2017-11-08T20:42:06+00:00

Supercomputing platforms and Frameworks for Deep Learning

Part I of DLAI-MET Master Course at UPC (Autumn 2017)

Official Course Web Site
http://dlai.deeplearning.barcelona

Professor :
Jordi Torres
Office: Mòdul C6- 217 (second floor)
www.JordiTorres.Barcelona
@JordiTorresBCN

Teaching Assistants :
Noe Casas
PhD candidate on Neural Machine Translation
http://noecasas.com
@noecasas

Francesc Sastre
Research Computer Engineer at BSC
https://xiscosc.github.io
@XiscoSC

Description: This part of DLAI course will briefly present the basic computational requirements and popular frameworks for DL.

Previous knowledges Prior exposure to programming in Python and experience with Linux basics will be helpful.

Content of this part:

Lectures:

Labs:

 

Documentation:
Class handouts and materials associated with this class can be found on the Atenea intranet or through the links on this page.

This page and its links will be updated throughout this course to keep the information as updated as possible. (last modified 21/October/2017)