This course aims to teach learners about intuitive reasoning in (un)supervised neural generation. The course covers topics such as deep learning, language models, self-supervised learning, and unique computational concerns. The teaching method involves lectures and discussions. This course is intended for individuals interested in advanced topics in artificial intelligence and neural networks.
Intuitive Reasoning as Unsupervised Neural Generation
Massachusetts Institute of Technology via YouTube
Overview
Syllabus
Introduction
Observations
Common Gen
Summary
Deep Learning as a Human
New Relations
Language Models
Descriptive Ethics
Dynamic Context
Questions
Multimodal Information
Combining Representations
Question
Selfsupervised learning
Unique computational concerns
Taught by
MIT Embodied Intelligence
