MIT 6.S094: Computer Vision
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- Опубликовано: 4 июн 2024
- This is lecture 4 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.
OUTLINE:
0:00 - Computer Vision and Convolutional Neural Networks
22:15 - Network Architectures for Image Classification
34:39 - Fully Convolutional Neural Networks
44:35 - Optical Flow
50:07 - SegFuse Dynamic Scene Segmentation Competition
INFO:
Slides: bit.ly/2HdjksA
Website: deeplearning.mit.edu
GitHub: github.com/lexfridman/mit-dee...
Playlist: goo.gl/SLCb1y
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LINKS:
Playlist: goo.gl/SLCb1y
Lecture 1: Deep Learning - • MIT 6.S094: Deep Learning
Lecture 2: Self-Driving Cars - • MIT Self-Driving Cars ...
Lecture 3: Deep Reinforcement Learning - • MIT 6.S094: Deep Reinf...
Lecture 4: Computer Vision - • MIT 6.S094: Computer V...
Lecture 5: Deep Learning for Human Sensing - • MIT 6.S094: Deep Learn...
Guest talk: Sacha Arnoud, Waymo - • Sacha Arnoud, Director...
Guest talk: Emilio Frazolli, nuTonomy - • Emilio Frazzoli, CTO, ...
Guest talk: Sterling Anderson, Aurora - • Sterling Anderson, Co-...
2017:
Guest talk: Sertac Karaman, MIT - • Sertac Karaman (MIT) o...
Guest talk: Chris Gerdes, Stanford - • Chris Gerdes (Stanford... 
Наука
# Some timestamps:
- Computer Vision is Deep Learning: 00:53 - 01:57
- Images are numbers: 01:58 - 03:13
- Visual Cortex: 03:51 - 04:37
- Deep learning is hard: 04:38 - 06:42
- KNN: 10:44 - 11:32
- Learning is optimization of a function: 12:05 - 12:42
- CNN: 13:36 - 21:30
- SENet: 29:30 - 32:06
- Capsule Networks: 32:07 - 34:23
- Fully Convolutional Networks: 35:22 - 37:53
- SegNet: 39:50 - 40:15
- Dilated convolutions: 40:16 - 41:05
- Deeplap: 41:06 - 41:49
- Key Aspects of Segment: 41:50 - 42:50
- ResNet-DUC
- FlowNet: 44:26 - 48:47
- FlowNet 2.0: 48:49 - 50:06
Amazing, thanks!
Thank you chap!
Very happy to see you will be dedicating time to the capsule networks. They are intriguing! Looking forward to it.
This so cool. I thought he was only a martial arts guy which was cool enough but he is also an AI guy in MIT. I began boxing this year and I will do EE next year. Leg locks and computer vision baby.
Been planning to get back in school next year and finish my EE. Now I’m going to take up Muay Thai this year, thanks for the inspo!
Why EE for computer vision? EE is not computer vision
About to graduate as EE hope u went thru w it !!
These lectures are amazing.
Loved this. Thanks Lex. And thanks for your chat with Annie Jacobsen. My favorite of all your uploads sir.
Dear Lex, thanks so much for providing such good series of videos. For the capsule networks and GAN mentions at last of this lecture? Where could we find the them?
Hey Lex. Thank you for great lectures. are GAN and CapsNet available online?
love this. thanks lex
Big ups Lex. Didn’t know you are a computer scientist. I watched your interview with Vitalik
Hey Lex, are you going to be uploading the lectures on capsule networks?
Awesome video
his suit is sickkk
Thank you Lex, very clear and informative.
One thing: 3.59 "the structure of the visual cortex is in layers". The slide before, differences, topology: human brains have no "layers" -- a bit misleading
layers
i.pinimg.com/originals/f8/02/2b/f8022b97b8f6635176e1bbf8a1aa6ecc.jpg
lh3.googleusercontent.com/proxy/QmSOiqXmBvx793JGUDYl1XGudm9KRrXj3LWylx1J5pW1E6m3CPqBvDFbq-bUp23f7xdvyN0JHdMK1d8Cgx7MLd14BhQtEjPErLQQtZZpmcJNeCOS
be yourself man
Be me, I am cooler.
so he reads off a prompter...