MIT 6.S191 (2018): Introduction to Deep Learning

I am 65 year old black male always wanted to go to mit thanks

loved it totally ❤

MIT was always my dream school because professors actually teach, but I'm not gifted enough when it comes to intelligence so I guess I'll never be able to attend haha.

MIT sounds like IITs and NITs we are treated same like this ,with little politics by gov.

Thank you for posting this great course. It reinforced everything I've been learning.
Brilliant course, phenomenal content. I really enjoyed the overall flow as well. Great work MIT!

thanks lot ,the best course i never seen

Thank you for posting this great course. It reinforced everything I've been learning.
Thanks for the free education

Ewww I actually understand the math

What quadrant are you talking about ???

is there a link to your slides ?

Excellent presentation, excellent speaker. Thank you MIT and Mr. Amini.

عالی بود آقای امینی!👍🌹

Thanks for these videos. I only found them now. On the website the material is not available. Does anyone have it?

I love how you describe complex stuff with such simple words, Thank you a lot. Greetings
Very good :) I'm Computer Engineering student in Italy and love this :) Great job ;)

Thank you for the lecture. I'm an MD who has interest in the applications of Deep Learning medical diagnostics (e.g. detecting diabetes from retinal scans, cancers from an x-ray/ctscan/mri images, diagnosis of different skin lesions, etc.). Best regards from 🇵🇭

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amazing video! thanks for uploading them ❤️

Can someone do the english subtitle so I could more concrete and be able to understand the whole lesson? I deeply interested with its topic. English isn't my native language. I still keep going on improving my listening skill. Thank you for helping me. 💙

Very interesting ...
Thanks for sharing.

Could you offer the option to use an open GPU standard to allow AMD users to run the code?

This is too basic for me to continue watching.

Very good lecture.
One slight mistake thought, the singular of minima is minimum.

Is this series also included code part?

Great content, thank you!

Outstanding lecture!

This was so helpful!!

I didn't quite catch what is a bias when you say when we have no input features to still provide a positive output ? What does it change it if there is a positive or negative output in the end if there is no inputs to improve the network ?

could someone refer more details on gradient that he discussed. if possible

I'm fackin' stupid

Thank you MIT.

Thanks for the video
Sir what are the prerequisites for this course?

nice

Thanks for the free education
Your lecture can help me understanding the fundamental of deep learning. Thanks a lot. from Japan.
Very good :) I'm Computer Engineering student in Italy and love this :) Great job ;)

Perfect lecture! Much appreciated!

Should’t the ReLU be like (returning z instead of 1):
g’(z) = z if z > 0 else 0

Very good :) I'm Computer Engineering student in Italy and love this :) Great job ;)