DLRG – Mastering Tensorflow – 1
TrAC DLRG Mini-course on Mastering Tensorflow (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
TrAC DLRG Mini-course on Mastering Tensorflow (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
TrAC ADLRG Mini-course on Graph Neural Networks (class 3/4) In this mini-course, we will cover concepts in Graph Neural Networks.
The Richard and Carol Pletcher Seminar Series and TrAC host Lucy Zhang Title: Non-intrusive Coupling Strategies for Multiphysics Simulations Abstract In this talk, I will discuss computational strategies for multiphysics […]
TrAC ADLRG Mini-course on Graph Neural Networks (class 4/4) In this mini-course, we will cover concepts in Graph Neural Networks.
TrAC DLRG Mini-course on Mastering Tensorflow (class 2/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
Title: Nonlocal Operator Learning is All You Need Abstract During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning […]
TrAC ADLRG Mini-course on Generative AI (class 1/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
TrAC DLRG Mini-course on Mastering Tensorflow (class 3/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures spread over 3 weeks.
Title: Data-driven Verification for Safe Autonomy: Reachability, Entropy, and Perception Contracts Abstract Todays verification technologies for autonomous and cyber-physical systems require detailed models which is one of the barriers that […]
TrAC ADLRG Mini-course on Generative AI (class 2/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.