MIT Introduction to Deep Learning | 6.S191

Thomas Helen Martin Christopher Moore Robert

I really Appreciate you guys taking this possible... Much love and thanks to you... I hope someday I will be able to continue my studies in such a great university such as MIT. ;)

Do we have more elaborative video regarding how loss function values are calculated and how the gradient is calculated? And how do we figure out this is how our loss function is going to look over particular weights?

Awesome!

ANy recommendation for Machine Learning. I am newbie.

Any recommendation for Machine Learning. I am newbie.

This is prolly the best Deep Learning lesson out there. With some maths or stats background, it's easy to follow. This is gold!

Where are the source code?

So what comes after LLMs, 2 unibots one which converts data into rules based datasets and the other which interprets the rules based datasets. This can work in a modular way.

What are the pre requisites to understand this lecture? What part of mathematics?

I did this in 2005 in assembler on the development KIT board ADSP-2189. The learning parameter = gradient could be computed after certain epochs. The algorithm was able to compute each weight very easily, so that weach W(i) was tested and the smaller error the better weight vector was taken into the next epoch. For instance the algorithm tested the W(i) within the range -1 to +1, so it started with -0.5, then 0, then 0.5, and divided each range by two on 16 bit numbers.

Thank you so much , I got more information from this class.

NICE JOB! THANKS ALOT!

It will be wonderful to visit lahore

Respectively Sir, Your teaching about ,How to use Ai Mathematical Algorithms and take a great advantages of this course through one video ❤

It's so good to heeeere thnx🎉🎉 I did, get thee invitation 😮😮 all your pink spots

Corner knife video need program need❤❤

How could a machine be teached it to estimate the probability of earthquakes?

I've been attending these classes from IIM-C. You've summarized 6 hours of my professors' class in just an hour.

I'm coming here right on the day of exam to revise everything

Thanks MIT❤

This is great. The theoretical framework was well explained. The concept is a lot clearer to me. Thanks for sharing this. Thanks, MIT.

do i only need just watch 2024 videos ?

Great lecture! Was wondering if you could elaborate on the thought process behind choosing Tensorflow instead of Pytorch.

Thank you for publishing this :)

Absolute Gem ❤ of Lectures !

by far best lecture on nn

We live in such wonderful times where we are able to watch and learn courses for free!

Excellent presentation.
Greatly appreciated all information. Thank you.

Thank you for the lecture!

using ai is interesting and exciting learning bout it is boring asf!

obama's spoiled everything

Great content! I keep watching the videos for interview preparation. Is there any possibility of getting content in generative AI?

This video is just perfect to understand working of neural network. Loved it🎉🎉🎉

sooo boring an I can hit a target 300 meters open sights an program porn that will knock your socks off sooo boring

Really thank you Dr.Alex for making this material accessible to everyone

Please, do add live practice and hands on session at least on one topic, end to end project base rather than only theory base lecture.

I’m in grade 6 this was interesting, I learned a lot.

always find something new and useful in your videos. Thanks for making trading so fun!

🇳🇱😤

make scratch better you lazy bozos

good cousre and handsome teacher

very good I like

you got me with Obama! I was so mad he was allowed talk here lol