MIT 6.S191 (2022): Deep Learning New Frontiers
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- Опубліковано 14 кві 2022
- MIT Introduction to Deep Learning 6.S191: Lecture 6
Deep Learning Limitations and New Frontiers
Lecturer: Ava Soleimany
January 2022
For all lectures, slides, and lab materials: introtodeeplearning.com
Lecture Outline - coming soon!
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It is a privilege to be able to learn form experts like Ava and Alexander. Thank you!
This series of course, is so comfortable while still being able to teach so much stuff. Amazing!
I really like the ideas behind AutoML and Graph CNNs. Great video!
I love the idea of project rewards! I would really like it if you organized a broader competition with a wide variety of DL subjects. I think it would bring together a lot of DL enthusiasts. Great lecture too :)
Class starts at 7:38
great lectures. Thank you so much
I did not understand the label randomization example at 17:00 - So they trained an image/label set with (random) shuffled image / labels. So many images had as input a random label. When they confronted the trained model with a test set (correct image/label pairs) - the error was big. But when they tested it with the training set they got a high accuracy (correct labels for given input images). I assume this time the used pairs from the training set were not shuffled, so they tested the model but with correct samples of the same training set (right image/label pairs). Did I get this right? Is there more reading material on this experiment? Thanks
Thank you !!
Thank you !
Where can we listen to guest lectures.
Those temple are in India.
perfect
I am MS student at CSU, Cleveland. Can I also participate in project?
Hey have a question, do you use linux, mac or windows ?
I think linux is better and mac OS is based on Unix which is almost similar to linux
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👍✔
One question, why did it do that in Go?