YoVDO

Beyond Deep Learning - Learning+Reasoning

Offered By: Alexander Amini via YouTube

Tags

Deep Learning Courses Computer Vision Courses Reinforcement Learning Courses TensorFlow Courses Image Classification Courses Generative Models Courses

Course Description

Overview

Explore the future of artificial intelligence in this 32-minute lecture from MIT's Introduction to Deep Learning course. Delve into the challenges of combining learning and reasoning in AI systems as presented by Lisa Amini from IBM Research. Discover the potential of word embeddings and knowledge bases in advancing AI capabilities. Examine real-world example tasks that demonstrate the integration of learning and reasoning. Gain insights into ongoing research and future directions in the field of AI that go beyond traditional deep learning approaches.

Syllabus

Introduction
IBM Research
MIT Watson AI Lab
Challenges
Word embeddings
Knowledge bases
Example Task
Future Work


Taught by

https://www.youtube.com/@AAmini/videos

Tags

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX