NeurASP: Model Training - Part 2

Explore the second part of a tutorial on NeurASP, focusing on model training in this neuro-symbolic framework. Dive into the process of end-to-end training, where gradients pass through an ASP program to neural layers. Learn how NeurASP connects an ASP program to the top of a neural architecture, enabling seamless integration of symbolic methods and deep learning. Gain insights from Chitta Baral of Arizona State University as he presents this cutting-edge approach in artificial intelligence and machine learning. Access accompanying slides and the original research paper for a comprehensive understanding of NeurASP's training methodology.

NeurASP pt 2: Model Training