PWL #09 :: Deep Residual Learning for Image Recognition

Hello everyone 👋

The 9th session of Papers We Love @ Porto will be hosted by Feedzai and we're super happy to have Joāo Fernandes (https://bit.ly/2m9ocSe) talking about another great scientific topic!

Agenda
19:20 👋 Meet & Greet
19:30 🎙 Introduction
19:40 📜 Deep Residual Learning for Image Recognition
20:20 🍕 Networking
20:30 👏 Wrap-up

Talk

📜 Deep Residual Learning for Image Recognition

Deep neural networks have shown high performance on image classification tasks. However, due to its complexity, it usually takes a long time and a lot of computational resources to train deeper neural networks. Deep Residual networks (ResNets), can make the training process easier, faster and even allow to build deeper networks. In this presentation we will take a look on how ResNets work and the breakthroughs they allowed to make in the world of computer vision.

Details

Doors will open around 18:30 and we'll start the talk after a quick introduction of the meetup, around 19:00. After the networking we can grab dinner nearby!

Hope to see you soon 🎉