Deep Learning for Automotive - Challenges and Approaches
Deep Learning (DL) and AI pave the way for self-driving cars and vehicles. AI is shaping automotive design and manufacturing as well as how we drive. In this webinar, we will describe different automotive uses cases for Deep Learning, in particular in the domain of Computer Vision. After introducing the basics of Convolutional Neural Networks (CNN), we will try so shed some light on the various challenges and how DL can be used to solve them.
Christian Merkwirth is a Machine Learning Architect and Backend Engineer with Luxoft working for NAUTO. Prior to this, he worked on various projects in Google, including the Google Accelerated Science (GAS) team. Christian’s interest in Statistics, Machine Learning, and Dynamical Systems began 20 years ago when working on his PhD in Nonlinear Physics. His expertise combines various fields of advanced numerical methods, including Statistical Learning, Time Series Forecasting and High Performance Computing. Putting those approaches into practical use is a main motivation for Christian. Christian spends his spare time with family, and if possible, on bicycle around Krakow or diving in the Red Sea.
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- Luxoft LTS Event with Rex Black
- Murex Webinar
- LTS Webinar “A practical guide to Digital Transformation” with Richard Pilling
- LTS Webinar: Climbing into the Digital Cockpit
- Luxoft Technology Series #15 with Vladimir Krasilschik