Deep Learning Basics: Introduction and Overview

Channel:
United States Lex Fridman
Subscribers:
4,820,000
Published on ● Video Link: https://www.youtube.com/watch?v=O5xeyoRL95U


Duration: 1:08:06
2,052,862 views
39,055

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 entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.

INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-learning-basics-slides
Playlist: http://bit.ly/deep-learning-playlist
Blog post: https://link.medium.com/TkE476jw2T

OUTLINE:
0:00 - Introduction
0:53 - Deep learning in one slide
4:55 - History of ideas and tools
9:43 - Simple example in TensorFlow
11:36 - TensorFlow in one slide
13:32 - Deep learning is representation learning
16:02 - Why deep learning (and why not)
22:00 - Challenges for supervised learning
38:27 - Key low-level concepts
46:15 - Higher-level methods
1:06:00 - Toward artificial general intelligence

CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
- LinkedIn: https://www.linkedin.com/in/lexfridman
- Facebook: https://www.facebook.com/lexfridman
- Instagram: https://www.instagram.com/lexfridman



Other Videos By Lex Fridman


2019-03-20Eric Weinstein: Revolutionary Ideas in Science, Math, and Society | Lex Fridman Podcast #16
2019-03-12Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
2019-02-26Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
2019-02-18Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
2019-02-12Drago Anguelov (Waymo) - MIT Self-Driving Cars
2019-02-07Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14
2019-02-01Self-Driving Cars: State of the Art (2019)
2019-01-24MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
2019-01-19Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13
2019-01-17Deep Learning State of the Art (2019) - MIT
2019-01-11Deep Learning Basics: Introduction and Overview
2018-12-28Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12
2018-12-23Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11
2018-12-16Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
2018-12-09Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9
2018-12-04Eric Schmidt: Google | Lex Fridman Podcast #8
2018-11-29Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
2018-11-22Guido van Rossum: Python | Lex Fridman Podcast #6
2018-11-16Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5
2018-11-11Black Belt Speech | Lex Fridman
2018-11-05Playing Guitar in a Self-Driving Car


Tags:
deep learning
machine learning
computer vision
tensorflow
deepmind
openai
mit
introduction
basics
lex fridman
mit deep learning
deep learning mit
deep learning tutorial
deep learning basics
intro to deep learning
introduction to deep learning
what is deep learning
deep learning basics mit
basics of deep learning
tensorflow tutorial
deep learning python
deep learning andrew ng
deep learning tensorflow
intro to machine learning
deep learning introduction