Geometric Deep Learning - Astrid Walle | The Science Circle

Surrogate models are widely used in engineering to speed up product development. Geometry based Neural Network used as surrogate models overcome the two main limiting factors of more traditional parameter based surrogate models, which are the restriction to a once defined parametrisation and the curse of dimensionality. In this lecture we will discuss the theoretical basics of geometry based deep learning and point out the differences to parameter based approaches. 📈 APEX Consulting: https://theapexconsulting.com 🌎 Website: http://jousefmurad.com 👉 My main channel: @Jousef Murad ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2   #engineering #deeplearning #geometricdeeplearning