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, 2016 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