Computer Vision and Applied Deep Learning with Mathematica

Abstract

This half-day tutorial is a hands-on introduction to using Mathematica and the Wolfram language for developing and deploying applications in computer vision and machine learning. Mathematica is a fully integrated system that spans all areas of technical computing. We will give a comprehensive overview of Mathematica’s state of the art capabilities in computer vision and machine learning, including its completely new and integrated deep learning framework. You will be practicing hands-on with the Wolfram language through various application examples such as image retrieval, inpainting, feature extraction, or deep learning-based face detection.

Sebastian Bodenstein

Machine Learning Research Engineer