First lecture in the 2019 deep learning series! It's humbling to have the opportunity to teach at MIT and exciting to be part of the AI community. Thank you all for the support and great discussions over the past few years. It's been an amazing ride.

@sonjoydas7911

5 жыл бұрын

You are Awesome, sir!

@TK-ke3nv

5 жыл бұрын

I was waiting for it 😬🤗

@colouredlaundry1165

5 жыл бұрын

Go Go Lex!!! This is Awesome! Best way to start this year

@theaichannel242

5 жыл бұрын

This is the best AI talk I have seen, I’m looking forward to developing my skills. I have so many ideas to tackle some of the harder questions and some issues I’ve noticed in training models and data gathering which I think are currently flawed.

@lexfridman

5 жыл бұрын

@Mohit Sharma We're releasing tutorials on our GitHub repo: github.com/lexfridman/mit-deep-learning

3 years later..he never would have guessed he would be best buds with Joe Rogan, David Goggins and interview Ye and others. Crazy

@sandigoletic7204

Жыл бұрын

shows you if you're disciplined, a real human with a heart, and grind will get you to your goals. I am too dumb for this video.

@49erman2

Жыл бұрын

For reals!

@justinking5964

Жыл бұрын

Can AI be used in predicting lottery pick3. I have a whole unique method that needs deep learning aid.

@justinking5964

Жыл бұрын

@@dyfrigshandy Thanks though don't konw what it is.I have been researched it for a decade.I wanna share with people with the same hobby.

@aurelianspodarec2629

Жыл бұрын

@@sandigoletic7204 And still scared to post interview with Andrew Tate : d

0:48 Deep Learning Basics Summary 5:00 Visualization of 3% of the neurons and 0.001% of the synapses in the brain 6:26 History of Deep Learning Ideas and Milestones 9:13 History of DL Tools 11:36 TensorFlow in One Slide 13:32 Deep Learning is Representation Learning 16:05 Why Deep Learning? Scalable Machine Learning 17:10 Gartner Hype Cycle 18:18 Why Not Deep Learning? 21:59 Challenges of Deep Learning 29:20 Deep Learning from Human and Machine 30:00 Data Augmentation 31:36 Deep Learning: Training and Testing 32:10 How Neural Network Learn: Backpropagation 32:28 Regression vs Classification 32:54 Multi Class vs. Multi Label 33:13 What can we do with Deep Learning? 33:45 Neuron: Biological Inspiration for computation 34:14 Biological and Artificial Neural Networks + Biological Inspiration for Computation 35:55 Neuron: Forward Pass 36:40 Combining Neurons in Hidden Layers: The "Emergent" Power to Approximate 37:37 Neural Networks are Parallelism 38:00 Compute Hardware 38:27 Activation Functions 39:00 Backpropogation 40:07 Learning is an Optimization Problem 41:34 Overfitting and Regularization 42:58 Regularization: Early Stoppage 44:04 Normalization 44:32 Convolutional Neural Networks: Image Classification 47:52 Object Detection/ Localization 50:03 Semantic Segmentation 51:27 Transfer Learning 52:27 Autoencoders 55:05 Generative Adversarial Networks (GANs) 57:03 Word Embeddings (Word2Vec) 58:58 Recurrent Neural Networks 59:49 Long Short-Term Memory (LSTM) Networks: Pick what to forget and what to remember 1:00:15 Bidirectional RNN 1:00:50 Encoder Decoder Architechture 1:01:38 Attention 1:02:10 AutoML and Neural Architecture Search (NASNet) 1:04:40 Deep Reinforcement Learning 1:06:00: Toward Artificial General Intelligence

@TheBlundert4ker

4 жыл бұрын

Thank you

@flatcurve6465

3 жыл бұрын

You're doing gods work

@LadyCoyKoi

3 жыл бұрын

You are awesome... May many great things go into your life.

@720cinema8

3 жыл бұрын

This was quite nice to take time so we could save some :). A selfless creature, indeed!

@maximilianobue7460

3 жыл бұрын

Oliver Woods no, his friend is, however he is allowed to read his slides and present the lecture as he holds a degree in the liberal arts

I slept listening to you this morning and saw my mom reading deep learning books in my dream.

@webdev8284

3 жыл бұрын

Lmfaoooo 😂😂

@yasinsharif3928

3 жыл бұрын

Your unconscious is telling you to learn

@crbradbury8282

2 жыл бұрын

TMI. Abit TooTMI

@axea4554

2 жыл бұрын

Whoa

@danielg3924

2 жыл бұрын

This means the genes on your mother's side are pushing you to learn, improve, overcome. She is saying "you, my son, are the future of intelligence in the universe... for good... or for ill" [ominous music intensifies]

When she says “go deeper” but you’re all out of PowerPoint slides

@weiwang611

4 жыл бұрын

So true

@miladsayad2935

4 жыл бұрын

You Made my Day!

@onetwo3411

3 жыл бұрын

@@Adriano70911 stfu

@weouthere6902

3 жыл бұрын

@@Adriano70911 stfu

@ab1577

3 жыл бұрын

😜

I really admire the work that Lex is doing both at MIT and his podcast!

@mkballer4502

Жыл бұрын

then you are a dummy

@zoltanterek4392

6 ай бұрын

then you are a clown@@mkballer4502

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

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

I don't exactly know why, but I am so proud of him. Both as a human and as a person who still puts efforts to not let knowledge become the source of cynicism. There's something about not giving up on love and other intellectually ridiculed concepts such as kindness. There's something pure about it. And for that purity, I am so proud of him.

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.

@yash_renaissance_athlete

11 ай бұрын

Same here lol

@wrestlingscience

10 ай бұрын

He’s just like me fr! Headass

@basil9633

7 ай бұрын

Real

@aland8269

6 ай бұрын

@@wrestlingscience deadass no cap

@grizzledwarveteran2321

2 ай бұрын

@@wrestlingsciencelol

Thank you so much Lex. This will help us a lot. This will help the students, who cant afford paid online courses and none in the neighbourhood can teach.

This lecture is awesome and really inspiring. I've been a fan now for years now Lex, and I'm really happy to see your success. I just wanted to point out that I believe your analysis of "One Shot Learning" re: human bipedal locomotion might be a little off base. The learning and development process that leads to bipedalism is characterized by a list of precursors like crawling, sitting up, and standing up. This process takes usually between 1 and 2 years. This time (and the hundreds if not thousands of reps that come with it) is needed to build from the ground up both the requisite muscular strength and the requisite neural pathways for these coordinations to be possible. The process can be accelerated through coordination-specific training on the part of the parents (which occurs quite often). Errors that occur in this process lead to hardcore biomechanical problems down the road (e.g. requiring knee replacement at 55) Bipedalism is pretty complex, and is way harder than quadrupedalism, which would fall more in the scope of your one shot learning claim.

@lesschinskee

Жыл бұрын

Loved your post. Let your child crawl to build their core strength before you worry that they aren’t standing yet. Putting diapers/nappies on a crawling child is similar to hobbling a horse. Think about it. The longer they crawl the better they will be able to walk. Obviously to let them crawl longer and without a massive chunk of material forcing misaligned muscular development is a huge inconvenience to the care giver. Prioritise your goals.

Superb lecture. The guy speaks as if he sell dreams.Great confidence and knowledge

Amazing talk! Thank you, Lex! What an exciting time to be alive...

Thank you for your honesty, Dr Fridman. Brilliant and thought -provoking to those who can ask questions to answer.

Lex,you are amazing as a lecturer and a finer example of a loving human. Your voice is so deep assertive and clear to the audience You're handsome with good attitude ,body language and can easily connect with people. I pray God bless you and family with blessings because we need you.Congrats man.

I have attempted to meditate many times in my life and prior to this CD the only success I've experienced is with live guided meditation. kzread.infoUgkxzpa8CIfZcihW4Z0F_ja0QF3W9KIatrsq This is the first CD I've used that cuts through my unmedicated ADHD and enables me to truly relax and experience a quiet and energizing interval. The instructors voice is very soothing and pleasant to listen to. I am easily able to sit successfully through the entire CD, and for quite some time after. I cannot adequately express how tremendously helpful this CD has been on my spiritual journey!! Two thumbs up and 10 stars!

So talented, this guy should make his own podcast

You know what lex will revolutionize the world..a great scientist and a fluent speaker,it always a pleasure to listen lex😍😍

Lex Fridman is absolutely fucking winner. Winner doing winner things. Is there a human being on earth who doesn’t like the guy? What an awesome blessing of a human being. We need more

@madmen1986

2 ай бұрын

facts

@maxonwax6172

Ай бұрын

Sam Hyde dont like Fridman and he somehow right.

Thank you for sharing this on KZread. This is what gives me hope in todays world. The walls that surround knowledge are coming down. Go team PEOPLE.

@vdmur7952

3 жыл бұрын

100%

@rbmadgunner

2 ай бұрын

Like the berlin wall fell, the wall for knowledge must fall..

I have never heard a technical course so poetic!

Thank you Lex for all your contribution and for sharing so much on KZread. My life would not be the same with our you podcast series

Lex is a really admirable professor applying academy to solve real world problems through engineering ways. Kudos!

@AP-bo1if

4 жыл бұрын

like pretty much all engineers? LOL

@Dadaadad268

Жыл бұрын

He can’t speak properly

@dagreatcow

Жыл бұрын

@@Dadaadad268 I think we can

@biesman5

Жыл бұрын

He isn't a professor

@thegoodplace1234

11 ай бұрын

He is not a professor.

This is a great rundown of the general DL basics. Really good lecture

Thank you so much, Mr. Lex Fridman, for contribution and sharing your lectures!

Been a fan of your podcast for a while. Really puts you in a while new light to see you yeah. You really seem in your element teaching!

Great explanation. This is the first lecture in which I am able to understand very easily. The way of explaining is mesmerizing.

Dope lecture. Good coverage. I love the hidden point that performance depends on smaller batch sizes, which means higher sample rates (to me), Data is capital.

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

Thank you for being such an amazing source of information and learning.

This is an extremely useful resource; thank you for sharing this!

Thanks lex for your sharing. So I can follow this training from Turkey. I wish you success. Good Work.

@yusuft.3587

3 жыл бұрын

Me too

@tahau8282

3 жыл бұрын

Adamsın reis

It’s super helpful to know how AI systems work, even though I don’t work in tech. It also helps me feel relieved to know that AI is still very far from becoming sentient. I didn’t realise just how amazing the human brain is in comparison.

Great resource Lex. Thank you for sharing. Keep them coming :)

I have school exams to read for.. but this video is more exciting to watch

Great video, thanks for this Lex

What's a clear explanation! That is a real professor!

"welcome everyone to 2019, it's really good to see everybody here" Time travellers?

@diegothaumaturgo

4 жыл бұрын

HAHAHA good point.

@LadyCoyKoi

3 жыл бұрын

I'm going to say "Welcome everyone to 2021... you survived Covid-19 and Trumps' incompetency."

@devilisahomo

3 жыл бұрын

@@LadyCoyKoi Trump saved America. God bless Trump

@c1dv1c1ous

3 жыл бұрын

We're all time travelers. I've never met anyone stranded to one moment in time.

@ciarfah

3 жыл бұрын

@@c1dv1c1ous You've never been to one of my lectures then

Important Elements 9:58 Simple Python Neural Network Classification Number Model --> 87% Accuracy Step 1: Import Necessary Libraries (TensorFlow) Step 2: Import data set for model Step 3: Layers of neural network classification algorithm (drawed number --> classified Number) --> Use tensor flow for running data through NN Algorithm (hidden layer, input layer, output layer) Step 4: Train data using Algorithm using epochs (number of simulations data runs through neural network algorithm to increase accuracy of NN model, model.fit) Step 5: Evaluate model after trained (display test accuracy of trained data) Step 6: Actually using algorithm to predict what is in image (In this case what number the user wrote) 16:02 Ability to Remove Input of Human Experts: * Closer examination of Raw data without human extraction * Doesn't Require human step before classification 22:02 Supervised Learning: 31:35

Thank you so much, Mr. Lex Fridman, for contribution and sharing your lectures! Great resource Lex. Thank you for sharing. Keep them coming :)

The best part was the honesty, on possible secundary effects that Deep Learning might do... none the less, we should definetely go ahead with Artificial Intelegence, never forgeting that C language is always there if we need to take a step back :)

This guy should starts a podcast. I am sure it would be popular.

One of the most precise lectures since my Engineering school times. Would love to hear more from you.

@saadiaelhalleh1738

10 ай бұрын

wow!

A tour de force in the selection, organization, and presentation of an overview of Deep Learning. I really enjoyed it - thanks for doing this and making it freely available to everyone!

thank you so much Lex! We from all over the world who can't afford to go to MIT, can get the same what your students learn!

every content you put is a gem Lex!

I am very fond ot the interviews in your podcast. Born 1961 I started my academic career studying computer science.I was one of those guys who chose the subject, because I could perform well above average with little effort. Now I am a lowly catholic priest still interested in all kind of science. Had I stayed in the computing business, I would have specialized in data modeling, data mining and data visualization. The lesson raised some philosophical questions with with practical consequences what I would like to research in your line of work. 1. The philosophical issue raises with the very definition of an information bit representing an yes/no answer to a given question. The most important thing in the whole computation/data business is to select the right questions and a well enough working way to answer them. I think it weren't Biil Gates abilities as a programmer which made him successful, but the set of questions he wanted to provide solutions. This is where I draw the line separating human intelligence from artificial intelligence. Human intelligence is about selecting the right questions. Once that is done and there is some relation to computable empirical data, I think AI will outperform human efforts as it develops. I always expected AI to become superior in games like chess or poker, because those games are inherently digital, based on a restricted set of predefined questions. (i.e. Is there a white queen on square e1?') Training an AI somehow expands the limits I assumed as given The training of an AI creates a layer of abstraction, something I previosly saw as purely human. 2. If I would research AI I would try to visualize that abstractions. I would implement functions like: 'Draw many different cats' if the AI is trained to recognize cats or 'Draw many different pictures similar to cats and equally similar to dogs. Then I would try to understand what the AI perceives as cat-like and if there is a better recognition when repeating the learning with the AI-generated examples. Has someone already tried this strategy? Did it work? 3. I am a fan of Gregory Batesons theory of 'binocular learning'. So, when researching autonomous driving I would experimentally use two cams with two AIs interacting like the two sides of a human brain and try evaluate if I implemented something to generate the added knowledge Bateson describes as result of comparing different descriptions of the same. If successfuly generating Bateson's additional value I would try to understand, if there is a general difference between humans and AIs when generating deeper understanding by using that method probably based on Bateson's levels of learning. Has anyone done research like this? What were the results? I guess, using multiple input-devices (i.e stereoscopic cameras or combining different electro-manetic wavelength cameras) will greatly improve the reliability of AI's results, while using multiple interconnected AIs will mainly improve the researcher's theoretical understanding by 'listening' to AIs 'discussing' their abstractions. If answering my questions don't go far beyond 'yes' or 'no' because I never invested any time to understand neuronal networks or AI.

Hi Lex, Thank you for this amazing video!

I get weird feeling when I hear lex talk. There's something that binds deep learning, media programming, and overall take over of a free thinking society. The way they collect data will not change. The population will change to make it easier for them to collect data and have a control.

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.

Thanks for sharing. My daughter is the frenchwoman in MIT, majoring Computational and System Biology.

Clean, clear and realistic lecture!

I'm so excited to join this class!

Such a dense intro. Love this

I would pay this man $$$$ just to keep pumping out lectures weekly

Thanks a lot, Lex, for sharing this series video

A great introduction lecture! Full of “fruit”, I learned a lot in just a hour. Thanks a lot for sharing!

@dezziepierce4769

3 жыл бұрын

Loyalty's

@dezziepierce4769

3 жыл бұрын

Business

@Mahalakshmi-Khan

3 жыл бұрын

@@dezziepierce4769 ??

@coop4476

2 жыл бұрын

Curious to know what you learned from this

@randomaccessfemale

Жыл бұрын

@@coop4476 And how. That's what we want to find out.

Greetings from Australia. Amazing class. Take care and thank you.

Good to see you teach..a teacher who is a continuous learner

Lex Friedman has become an inspiration to me greatly

Thank you Lex for making the outstanding lecture. Hats off!

This lecturer has a good voice. He should start a podcast or something

English is not my first language but your voice is clear and pronunciation easy to understand. Keep up the good work.

@michaelwalshaw8305

5 жыл бұрын

Piggyback on Mr. Sherma's comment: "English is my first language,But your voice is clearAnd pronunciation isn't too understand.Keep up the good work"

@michaelwalshaw8305

5 жыл бұрын

"English is my first language,But your voice is clearAnd pronunciation easy to understand.Keep up the good work"

"All kinds of problems are now in digital form" man, that was deep!

Love your work Lex.

Thanks Mr. Alex for your piece

it's awsome to know the evolution and new skills of deep learning in this course!

Awesome presentation! Thank you very much for sharing it.

I love your teaching style, @Alex Fridman

It's cool to see you in your element Lex!

The way you said course 6.S094 make you sound like a awesome robot professor Lex!

Great overview ! Thanks Lex !

Beginner > Hazard > Expert Love it!

Waiting for the lecture held today. :)

Amazing lecture. Lex, you are a legend. Thank you .This runs at x1.25 really well too (for the busy minds out there....)

@getupandgetgoing

2 жыл бұрын

Thanks for the tip. Worked well :)

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

I had no idea that you are/were a professor, and a great one at that.. thanks for sharing this video

It's interesting watching this lecture at the end of 2022, and seeing just how many problems deep learning has solved since this video was released. At 27:43, we've already reached Art and Book Writing, and are well on our way to a few others. And yet self driving hasn't advanced much at all.

@koho

Жыл бұрын

Well, don't go by Tesla. Self driving has advanced a lot even since this lecture. Veritasium has a great video on this.

Thanks a lot for sharing such a good and well done material

this is a very interesting lecture, thank you so much for making it available to a wider audience. are the other lectures of the series also available online?

Awesome, Thanks! Can't get enough.

Lex, Great Structure and coverage.

You sir rock, great lecture. Thanks for sharing!

You are breathtaking Lex

lex is the best sad i never had a teacher like him

Hey man, love your videos. Saw you first on Joe Rogan and been watching ever since :) Keep it up.

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

Honestly, thanks a lot for this professor.

imho the best lecture to watch in january 2019

@WillProwse

5 жыл бұрын

Agreed

Great introduction. Thank you very much for sharing it. The timing was perfect! I am writing a paper on deep learning.

Thank you so much for contribution and sharing your lectures

Thank you! This is gonna be great.

Lex you are so old school it's great

Great lecture! Thank you. 👍

Thank you for sharing Lex

Your podcast on artificial intelligence was amazing!

this is great Lex!

Thank you so much for it

Lex, thank you. You are a legend.