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.
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
- Sebastian Bodenstein
- Matthias Odisio