Deep learning is a key area behind different technologies of computer vision, image recognition, speech recognition, natural language processing, text processing, information retrieval, and multimodal information processing. Deep learning is getting lots of attention from the academy and industry. The course started in 2016 and is a deep dive into the deep learning architectures, focusing on learning end-to-end models for these tasks. We have a theoretical and practical approach to allow students to learn to implement, train, and debug their projects.
Watch the course presentation’s video (in Portuguese).
Our overarching goal is to gather the recent advances, ongoing developments, and the road that lies ahead of the field of Deep Learning in Artificial Neural Networks. Enroll the course and be part of the time!
We are grateful for funding from Universidade Federal de Pernambuco - UFPE, Centro de Informática - CIn, Artificial Inteligence Group at CIn - CIn.AI, and Cluster Neumann II at Centro de Tecnologias Estratégicas do Nordeste - CETENE.
Starting a new class in the Deep Learning course. Welcome folks and have fun!22. August 2022
Starting a new class in the Deep Learning course. Welcome folks and have fun!15. September 2022
Jayr's paper is published in Expert Systems with Applications.18. July 2022
Mouglas's paper is published in Computer Vision and Image Understanding.15. February 2022
Angel's paper is published in IEEE Access.06. October 2021
Starting a new class in the Deep Learning course. Welcome folks and have fun!18. July 2021
Julio's paper is published in 2021 International Joint Conference on Neural Networks (IJCNN).24. November 2020
Watch the Professor Cleber's webinar Desmistificando o Deep Learning (in Portuguese).12. November 2020
Starting a new class in the Deep Learning course. Welcome folks and have fun!