YoVDO

Learning Logical Relationships with Neural Networks - Part 3

Offered By: Neuro Symbolic via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Structured Data Courses Logical Reasoning Courses Differentiable Programming Courses Neuro-Symbolic AI Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the experimental evaluation of Differentiable Inductive Logic Programming for Structured Examples in this 12-minute video from the Neuro Symbolic Channel. Delve into the intersection of symbolic methods and deep learning as presented in the AI course at Arizona State University. Examine the latest algorithms and progress towards artificial general intelligence (AGI) through the analysis of Shindo et al.'s AAAI 2021 paper. Access accompanying slides and the full research paper for a comprehensive understanding of how neural networks can learn logical relationships. Join presenters Jesse Jing, Divyagna Bavikadi, and Kaustuv Mukherji from ASU as they break down this cutting-edge approach in neuro-symbolic AI.

Syllabus

(Pt. 3) How can you learn logical relationships with a neural network?


Taught by

Neuro Symbolic

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent