Welcome to Deep Learning Course
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.
News
05. March 2024Starting a new class in the Deep Learning course. Welcome folks and have fun!
15. December 2023Hidelberg's paper is published in 2023 EPIA Conference on Artificial Intelligence.
01. November 2023João's paper is published in 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI).
01. November 2023Arthur's paper is published in 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI).
12. October 2023Monique's paper is published in 2023 Brazilian Conference on Intelligent Systems (BRACIS).
31. August 2023Maynara's paper is published in Procedia Computer Science.
02. August 2023Evair's paper is published in 2023 International Joint Conference on Neural Networks (IJCNN).
02. August 2023Lucas's paper is published in 2023 International Joint Conference on Neural Networks (IJCNN).
02. August 2023Iago's paper is published in 2023 International Joint Conference on Neural Networks (IJCNN).