#NON trova questo! scaricare in locale o mettere il link esteso

IEEE CIS Task Force on Deep Learning

TFDL (Task Force on Deep Learning) is a new task force under the Technical Committee on Neural Networks (NNTC), with the mission to study theory, models, algorithms, and applications of Deep Learning.

Recent news

2017-11-14 New Event: Special Session on Deep Learning for Structured and Multimedia Information @ WCCI 2018.
For more details visit the Symposium web page
2017-11-14 New Event: Special Session on Interpretable Deep Learning Classifiers @ WCCI 2018.
For more details visit the Symposium web page
2017-11-10 New Event: Special Session on Empowering Deep Learning Models @ WCCI 2018.
For more details visit the Symposium web page
2017-05-16 New Event: IEEE Symposium on Deep Learning @ SSCI 2017.
For more details visit the Symposium web page
2015-04-10 The Web Site is on-line!

Description

The aim of TFDL is to study theory, models, architectures, algorithms, and applications (e.g., computer vision, speech recognition, natural language understanding, robotics, and bioinformatics) of Deep Learning. Moreover, TFDL promotes the organization of Deep Learning tutorials, competitions, special sessions, workshops, symposia within all major CIS-sponsored conferences, as well as special issues in the CIS Transactions. TFDL aim is also to facilitate the development and standardization of Deep Learning software and other related computational resources.