Computer Vision and Applied Deep Learning with Mathematica

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, etc. Schedule June 26, 2–6pm Introduction and welcome remarks Part I: The Wolfram Language in a Nutshell Part II: Computer Vision Part III: Machine Learning Part IV: Hands-on Development of a Complete Deep Learning Application Organizers Sebastian Bodenstein Matthias Odisio Download the presentation notebooks

Link to Full Article: Computer Vision and Applied Deep Learning with Mathematica

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