Deep Learning Basics: Introduction and Overview

n-dimmension arrays

Good looking guy

OMG Can U Please Get Ahold of Me I Think Ur So Interesting!

Honestly, thanks a lot for this professor.

nice lecture

Kosher

With as little as human possible. My opinionist was the wrong direction humanly possibility should always be constructed in if not you're working against society of mankind want to only see a game not life

No don't be afraid to call your buddies cuz you'll need to help

So you went to MIT huh how does greater than or less than play a difference in c/f degrees. Now me personally as a participant of extracurricular activities not consistent value of being teach book level knows that answer. Sorry comprehension still not all the way perfect how it comes out as I understand it in

This might be 4 years old but it is still incredibly helpful in understanding the current state of ML and ANN. Thank you Lex.

Too bad im too stupid in the field of all these kind a stuff..I couldn’t understand you more

hidemyacc

Thanks for your knowledge contribution 🙏

I;m going to trade tablet for laptop my friend deserves to be a psychiatrist. I need to go back to practice piloring again

This is amazing Lex! Superb FREE content so the cat and let curiosity kill it, over and over again, loving every secret

amazing lecture

Imagine waking up going to class and Lex is your professor, I would look forwards to every day of class.

Those slides… Man, I wish our lecturers put that much effort into compiling the slideshows that they’re in fact going to teach from for multiple years.

this man does not age im telling you

Weirdest podcast start I've seen.

Wait, it's about Deep Learning and not about Deep Learning

Can't believe am learning from Lex🤔

HIts deep, 2019 was 4 years ago

Electrical and computer engineering student here who's doing Jiu Jitsu as well. You can imagine how big a fan I am of Lex. So cool to see him actually going into the technicalities of his work.

he talks with the same cadence as travis bickle in taxi driver

ruZZian snitch

I ate a fucking red lobster biscuit once, Lex.

Hey, Lex... think we can 3D print a red lobster biscuit? I know we can.

Input:
          > water for all
          > food for all
          > home for all

(Nature provides these)

Watching this on 2023, after the advancements of generative pretrained models, is mind-blowing. Things advanced so much in 4 years.

He speaks like he’s on ludes.

People even clap at the end haha

I used to be a programmer 30 years ago. I started on a Sinclair Spectrum with BASIC as its language. Once I got started I had no real difficulty and relatively quickly produced a number of quite large programmes for the specific work I was doing at that time. I moved on to Z80A assembler producing code (via an assembler programme) for features that were beyond BASIC.
My job changed and I had no need to programme any longer. The computers I used then have passed into history. I problem I need help with is how do I get started with my present desktop?

Wow, what a guy. Thank you for sharing this video. Very well put together and engading lecture.

It's pretty amazing to see how excited "nervous'' he is to do this lecture, just as much as most of us are to learn this topic. :D

Unpopular Opinion: He isn't a good speaker.

I'm from India

öo_oö

unfortunately the How (Practical) is why my taste for ml has been soured.

the first part of the introduction sounds so different today.

TIL Lex Fridman is a freaking professor too,, at MIT no less!

Outdated ... GPT-4 can tell jokes actually 😅

I've been listening to Lex's podcast for a while, this is the first time I have audited one of his courses. I think he is starting to remind me of the Carl Sagan of our age.

Imagine this guy and 2023 Lex sitting down for a conversation.

What are the parameters to weigh human effort ? Both qualitative and quantitative

I like lex but he is not a good lecturer

Learning from the Hitman