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

2015-11-24 New Event: Special Session on Deep Learning for Brain-Like Computing and Pattern Recognition @ IJCNN 2016.
For more details visit Special Session web page
2015-11-24 New Event: Special Session on Deep Learning for Big Multimedia Understanding @ IJCNN 2016.
For more details visit Special Session web page
2015-11-18 New Event: 2016 IEEE Symposium on Deep Learning @ SSCI 2016.
2015-11-17 New Event: Special Session on Theoretical Foundations of Deep Learning Models and Algorithms @ IJCNN 2016.
For more details visit Special Session web page
2015-11-17 New Event: Special Session on Deep Learning, Medical Imaging, and Translational Medicine @ IJCNN 2016.
For more details visit Special Session web page
2015-10-30 CALL FOR PAPERS: Special Session on DEEP LEARNING (organized by the IEEE CIS Task Force on Deep Learning) @ ESANN 2016.
For more details visit Special Session 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.