Maxime DEHAUT

Max Dehaut is a tech lead for Codit Luxembourg (Proximus Group), overseeing all technical aspects within the local region of Codit. He helps to define and implement the technological strategy with a focus on decision management, IoT and machine learning. In addition, Max has worked on several academic R&D projects related to machine learning in the UK, and has frequently been an invited speaker at machine learning related conferences. Prior to FICO, Max undertook a programme management role for Safe Triage, an organization providing fully automated triage solutions for the emergency (civilian and military) services. He also worked for NATO as an IT manager for the Air/Ground-based Defense Programme.

projects by Maxime DEHAUT

Deep Neural Networks for Image Segmentation in Fine Art

5 weeks · 5-7 hours per week · INTERMEDIATE

Included with a Manning Online subscription

catalog / Data Science

In this liveProject, you’ve taken on the challenge of digitizing the collection of the World Painting Museum, and the head curator wants you to use your machine learning skills to create an index of the art. Your challenges will include classifying your training data, considering pretrained models to help aid categorization, implementing a customized CNN that can identify genre, and applying image semantic segmentation in order to facilitate the classification by identifying the elements present on the art painting.