MIT 6.S191 (2023): Robust and Trustworthy Deep Learning

  Рет қаралды 90,606

Alexander Amini

Alexander Amini

Күн бұрын

Пікірлер: 48
@siak2910
@siak2910 Жыл бұрын
Everytime I go through one of the lectures, I have this feeling for you: God Bless You!
@ethanm9658
@ethanm9658 7 ай бұрын
This lecture series are just incredible. Thank you Alexander and all other instructors for putting this together. Learned so much! And you are pushing the boundaries for AI learning!
@hilbertcontainer3034
@hilbertcontainer3034 Жыл бұрын
Very Inspiring Lecture! Before this, it had been not been easy to know where we could make the AI learn better, without manual diagnosis the training data.
@melfice90
@melfice90 5 ай бұрын
Its very inspiring what you guys are doing. Looking forward to use the learnings in future projects. THX to the entire team behind this course and for making it available to everyone around the globe.
@thedark3612
@thedark3612 Жыл бұрын
Thank you for 6.S191 complete course
@MrPejotah
@MrPejotah Жыл бұрын
I've already complimented the lectures in another video. This is a comment just for the YT algorithm 🙏. Keep up the great work.
@bohaning
@bohaning 9 ай бұрын
Hey, check out my Coursnap AI for this course! It has course outlines and course shorts, so you can get the gist of 1-hour in just 5 minutes. Try it out and boost your learning efficiency!
@Isabella12-3_4
@Isabella12-3_4 Жыл бұрын
Thank you for doing this important work!
@SantoshKumar-hx2ig
@SantoshKumar-hx2ig Жыл бұрын
Please continue this great work. Also cources on AI ,ML and data science.
@---MARIKANTISAIDHEERAJ
@---MARIKANTISAIDHEERAJ Жыл бұрын
she is very talented
@salamander5077
@salamander5077 Жыл бұрын
Very clear lecture. (But maybe you have to explain the ''noise'' term a bit more)
@sky44david
@sky44david Жыл бұрын
Amazing: Great future for Themis!
@bohaning
@bohaning 9 ай бұрын
Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!
@suyogkhadke4755
@suyogkhadke4755 Жыл бұрын
where can i find or practice the Lab session? Edit: I found it. It is in the website All Lab session
@IrfanKhan-nl4qc
@IrfanKhan-nl4qc Жыл бұрын
For the corresponding lab, capsa module is no longer found. Has it been removed? Where can I play with it? Thanks
@manjeetkulhar2812
@manjeetkulhar2812 Жыл бұрын
49:30 - Capsa: Open-source risk-aware AI wrapper Its disappointing to know that Capsa has been converted from an open source to a closed source by Themis AI.
@ZFreet
@ZFreet 9 ай бұрын
great, thanks for sharing
@gregwerner6231
@gregwerner6231 Жыл бұрын
I didn't quite get it from the intro. Was Alexander simply reading from a script or is he a part of Themis AI?
@AAmini
@AAmini Жыл бұрын
I'm the founder and CTO
@MarkJackson-z6l
@MarkJackson-z6l Жыл бұрын
How do I come up with the variance of a single data point? (see @35:56) How does the variance of a single data point even make sense?
@hamza-325
@hamza-325 Жыл бұрын
That's where my brain crashed. I hoped that someone answered this in the comment section but I couldn't find anyone beside your comment.
@jennifergo2024
@jennifergo2024 11 ай бұрын
Thanks for sharing!
@siak2910
@siak2910 Жыл бұрын
Please also educate me; what should typically be the number of training samples per class for a deep learning network such as Yolo, Resnet, Transformers etc etc.?
@alextitu602
@alextitu602 Жыл бұрын
Ideally all classes should have equal amounts of training samples (examples) for any deep learning network, but such situations are rare in practice. Also, the number of training samples should be as high as possible such that the network can learn the best generalization of the solution for the problem it tries to solve.
@arpitaingermany
@arpitaingermany 8 ай бұрын
where is the lecture for diffussion models?
@kienduongngo7549
@kienduongngo7549 6 ай бұрын
great lecture
@PoliticalFelon
@PoliticalFelon 4 ай бұрын
this needs to be taught in every classroom public and private
@SphereofTime
@SphereofTime 7 ай бұрын
33:00
@sirabhop.s
@sirabhop.s Жыл бұрын
Thank you :)
@convolutionalnn2582
@convolutionalnn2582 Жыл бұрын
How in the world is she just a Undergraduate 😱
@KamillaMirabelle
@KamillaMirabelle Жыл бұрын
Having a good overview over a topic is often something you learn before learning the complexity.
@convolutionalnn2582
@convolutionalnn2582 Жыл бұрын
@@KamillaMirabelle Sorry ?
@KamillaMirabelle
@KamillaMirabelle Жыл бұрын
@@convolutionalnn2582 meaning that a person with a Bachelor degree would know enough to talk about the topic and understanding which problems can occur and i big strokes way.. the complex answer to why is often what you learn at a master degree..
@convolutionalnn2582
@convolutionalnn2582 Жыл бұрын
@@KamillaMirabelle What she know is really a complex problem and could even taught the entire undergraduate...She is great and intelligent
@KamillaMirabelle
@KamillaMirabelle Жыл бұрын
@@convolutionalnn2582 I have most of a Bachelor in theoretical mathematics from University of Copenhagen and I understand the problem in the same level of complexity and most of my co students do too. I don't know your background, but i am sure that given the right teachers and a little passion for the topic you would if not as good as her, then in the run up
@SphereofTime
@SphereofTime 7 ай бұрын
40:00
@abdullahmarwan8562
@abdullahmarwan8562 Жыл бұрын
can anyone explain for me why high variance means noise in data ,while the variance of any point in data depends on x values to be far or near the mean of all data, while the noise as i understand it could have the same value of x with different y values ,so how we detect noise with variance being high or not..This issue in aleatoric uncertainty
@ayushmittal1287
@ayushmittal1287 9 ай бұрын
High variance doesn't mean noise rather it means that model is not able to learn that high variance and it is quantified through this variance output variable. To elaborate it, according to my understanding, in training data we have data from different groups (different groups means different level of variance for these groups as shown in fig @33:07). And if model is not able to completely fit the variance of a certain group then it gives of course bad results which is reflected and confirmed through this variance output and it means that models says that hey here is my prediction and here is the variance score if this is high it means the test data point came from the group of high variance in training set which model failed to learn(fit.)
@pavalep
@pavalep Жыл бұрын
Thanks :)
@pradyumnanimbkar8011
@pradyumnanimbkar8011 5 ай бұрын
This lecture could have been explained more easily. It is not as clear as the other ones.Still, great job!
@Biologyandbiotechnology-qc5jo
@Biologyandbiotechnology-qc5jo 3 ай бұрын
very nice expression
@holthuizenoemoet591
@holthuizenoemoet591 Жыл бұрын
what would i need to do to become an AI safety engineer? I already have a CS degree
@benduffy5210
@benduffy5210 Жыл бұрын
this doesn't seem to be very open source.. yet..
@manjeetkulhar2812
@manjeetkulhar2812 Жыл бұрын
Yes capsa package has been removed from PyPI.
@RajabNatshah
@RajabNatshah Жыл бұрын
Thank you :)
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