Computerphile: Deep Learning
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.
Education13 Videos
Stanford CS221 AI Lecture 4: Machine Learning 3 – Generalization, K-means
Recorded in Autumn 2019 Topics: Generalization, Unsupervised learning, K-means
Stanford CS221 AI Lecture 3: Machine Learning 2 – Features, Neural Networks
Recorded in Autumn 2019 Topics: Features and non-linearity, Neural networks, nearest neighbors
Stanford CS221 AI Lecture 2: Machine Learning 1 – Linear Classifiers, SGD (Stochastic Gradient Descent)
Recorded in Autumn 2019 Topics: Linear classification, Loss minimization, Stochastic gradient descent
Stanford CS221 AI Lecture 1: Overview
Recorded in Autumn 2019 Topics: Overview of course, Optimization
MIT 6.S094 Deep Learning Basics: Introduction and Overview
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entirely new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations […]
MIT 6.0002 11. Introduction to Machine Learning
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016View the complete course: http://ocw.mit.edu/6-0002F16Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SAMore information at http://ocw.mit.edu/termsMore courses at http://ocw.mit.edu
MIT AGI: Cognitive Architecture
This is a talk for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.
MIT AGI: How the Brain Creates Emotions
This is a guest talk part of MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.
MIT AGI: Computational Universe
This is a talk by Stephen Wolfram for MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.
MIT AGI: Future of Intelligence
This is a talk by Ray Kurzweil for course 6.S099: Artificial General Intelligence. Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.
MIT AGI: Building machines that see, learn, and think like people.
This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.
MIT AGI: Artificial General Intelligence
This is the opening lecture for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to explore possible paths toward building human-level intelligence for a better world.