Explore AI introspection in this comprehensive video lecture, covering approaches from both machine learning and knowledge representation communities. Delve into topics such as Introspective CNNs, generative vs. discriminative models, semi and self-supervised learning, and concept induction. Gain insights into the exciting field of neuro-symbolic AI, which combines symbolic methods and deep learning. Learn about cutting-edge algorithms, Python packages, and progress towards artificial general intelligence (AGI) through this informative presentation by Gerardo Simari, originally part of an AI course at Arizona State University.
Neural Network Introspection - Approaches from Machine Learning and Knowledge Representation
Overview
Syllabus
Introduction
Overview of Introspection in AI
ICN: Introspective CNN's
Generative vs. Discriminative models
Semi and Self supervisedlearning
ICN Introduction
Concept induction
Concluding remarks
Taught by
Neuro Symbolic
Related Courses
-
AI and Machine Learning Algorithms and Techniques
-
The History and Relevance of the Rise of Generative AI
-
Generative vs. Discriminative AI - A Comparative Analysis
-
IBM Generative AI Engineering
-
Deep Ontological Networks: Introduction - Part 1
-
Self-Supervised Learning - The Dark Matter of Intelligence
