Rita Pucci
PostDoc Researcher, Naturalis Biodiversity Center
Bio:
Rita Pucci is a computer scientist with a key interest in machine learning techniques for image manipulation and analysis. She investigates innovative deep-learning algorithms to identify and categorize images taken into the wild with mobile phones. Together with my collaborators, she works on Modern Approaches to the Monitoring of BiOdiversity (MAMBO) project that applies such techniques in Europe.
Workshop:
A Gentle Introduction to Capsule Networks
Abstract:
We will dive into the architecture of the CapsNet model proposed by Hinton et al. in 2017. It presents a new strategy for image classification and features clusterisation. In this class, we will cover the theoretical aspects of capsules and their application in CapsNet. We will also analyse the coding strategies applied to build the capsules in a classification model.
