MIT 6.S191 (2023): Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
2023 Edition

Lecture Outline
0:00​ - Introduction
2:37​ - Amazing applications of vision
5:35 - What computers "see"
12:38- Learning visual features
17:51​ - Feature extraction and convolution
22:23 - The convolution operation
27:30​ - Convolution neural networks
34:29​ - Non-linearity and pooling
40:07 - End-to-end code example
41:23​ - Applications
43:18 - Object detection
51:36 - End-to-end self driving cars
54:08​ - Summary

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[nynaevealmeera]

We are so lucky to be alive at a time when we can attend these types of lectures for free <3

[axelrose]

This entire series on Deep Learning is a great pleasure to listen to and brainstorm about.

There are limitless possibilities for AI applications, and I'm highly inspired for some of them.

[gondwana]

Here's what I love about your lectures: You give the intuition and logic behind the architectures and this helps a lot as opposed to the stone tablet thrown down from the heavens approach. Not only is this important for learning but it also stimulates intuition for the next set of innovations!

[Rashminagpal]

Such a brilliant session! I am totally in the awe of this course, and loved the way Dr. Alex dissects the concepts in simplified way!

[hoami]

I'm self-studying deep learning without going through any school so I need sharers like you . thank you very much!

[MuhammadAltaf]

I am in awe. You have delivered these concepts so beautifully that I didn't need to look up into other resources. I have recently made a switch to this field and you happened to be my biggest motivator to pursue it further. Thank you.

[Nestorghh]

the videos, slides and explanation keep getting better.

[akashmechanical]

It's unbelievable that you're doing this for free. Thanks a lot Sir. Your explanation is very clear and in an easy manner. Thanks again Sir.

[aritraroy]

Wow !! Really awesome lecture Alex sir . Nice explanation with perfect slides

[bhairavphukan]

Hello Alex! It’s great to join your class here 👍

[monome]

Greatly thankful to your efforts for making this great lectures free and so easily accessible, thank you Alexander Amini

[nbharwad]

Thank you so much Alex. So much learning from you. God Bless you. 😊😊

[ethereum_go_zero_toyear]

Thank you so much! I hope to see the 2024 version as soon as possible (I will brush it again

[ayanah]

I really appreciate you posting this material!! Thank you 🙏

[BruWozniak]

Wow, it's ridiculous, the more it goes, the better - I love every single minute of this course - A huge thank you!

[abusalehaligh.]

I can just say many thanks!
I’ve been taking courses online campus about such topics but all make no sense for me, now i understand it, many thanks!

[bestnews]

Thanks sir for this wonderful explanation.

[SukhdeepSingh-bjsl]

love from india as I'm not able to study at MIT but this series helps me a lot and I hope lots of people but if you can add the labs lecture that how we can build this practically so it would be a great honor

[Antagon]

This presentation is really well put together.

[drelahej]

Thank you, Max, for these amazing lessons ftom you & Ava. Could you please share a little more how I can learn more about the vision system example you used in the lectures which helps the visually impaired run the trail?