How Deep Neural Networks Work - Full Course for Beginners

  Рет қаралды 2,665,346

freeCodeCamp.org

freeCodeCamp.org

Күн бұрын

Even if you are completely new to neural networks, this course will get you comfortable with the concepts and math behind them.
Neural networks are at the core of what we are calling Artificial Intelligence today. They can seem impenetrable, even mystical, if you are trying to understand them for the first time, but they don't have to.
⭐️ Contents ⭐️
⌨️ (0:00:00) How neural networks work
⌨️ (0:24:13) What neural networks can learn and how they learn it
⌨️ (0:51:37) How convolutional neural networks (CNNs) work
⌨️ (1:16:55) How recurrent neural networks (RNNs) and long-short-term memory (LSTM) work
⌨️ (1:42:49) Deep learning demystified
⌨️ (2:03:33) Getting closer to human intelligence through robotics
⌨️ (2:49:18) How CNNs work, in depth
🎥 Lectures by Brandon Rohrer. Check out his KZbin channel: / brandonrohrer
🔗 Find more courses from Brandon at end-to-end-machine-learning.t...
--
Learn to code for free and get a developer job: www.freecodecamp.org
Read hundreds of articles on programming: medium.freecodecamp.org
And subscribe for new videos on technology: kzbin.info_cent...

Пікірлер: 802
@melina8217
@melina8217 3 жыл бұрын
I just woke up. I am very confused. Why am i here-
@4868985
@4868985 Жыл бұрын
Same lol.
@JeredtheShy
@JeredtheShy 5 ай бұрын
It’s an exclusive club we’re learning in our sleep
@olatundemarvelousanthony9231
@olatundemarvelousanthony9231 5 ай бұрын
Like seriously same just happened 😂😂😂
@PJRand
@PJRand 5 ай бұрын
🌾👀🌾
@bmwsale8
@bmwsale8 5 ай бұрын
Same 😂
@naishiuan1
@naishiuan1 17 күн бұрын
dunno why but this video was playing when i woke up in the middle of the night
@user-ox6sy2rw6s
@user-ox6sy2rw6s 26 күн бұрын
So, I just woke up to this video on my phone but the ironic part is I just learned about this yesterday.
@simonsong1743
@simonsong1743 12 күн бұрын
Same as me and I kept the link in a file for learn it next time.
@user-vr3sc6hs5f
@user-vr3sc6hs5f 12 күн бұрын
me too😂
@bennyrich7361
@bennyrich7361 9 күн бұрын
Oh and I didn't learn about this and have 0 interest in this...
@madscientist314
@madscientist314 8 күн бұрын
Same here
@MrRatchet12661
@MrRatchet12661 17 күн бұрын
Somehow this autoplayed on my phone while I was sleeping.
@razan3304
@razan3304 20 күн бұрын
what is this, i just woke up..
@alanoudalthani1876
@alanoudalthani1876 22 күн бұрын
i slept watching a different completely unrelated video and woke up on this what just happened
@nathanmckenzie904
@nathanmckenzie904 10 күн бұрын
Yup
@OmikronPsy
@OmikronPsy 4 күн бұрын
Same!
@rauld2572
@rauld2572 Күн бұрын
Singularity trying to nudge you in the right direction
@Corn0nTheCobb
@Corn0nTheCobb 11 ай бұрын
I came with an interest in neutral networks. I left feeling well rested.
@BennoRob95
@BennoRob95 7 күн бұрын
I fell asleep watching a very simple maths video and woke up to this after dreaming that me and my friends were studying its contents. I’ve never done anything to do with this before but I understood it when I was dreaming about it so will probably give it another listen. It reminds me of being in College/University when SWIM was doing a bunch of drugs and accidentally designed a computer brain. Score for drugs 1,264,273,995,267,177, score for sobriety: still zero LOL
@therainbowtrout1820
@therainbowtrout1820 13 сағат бұрын
SWIM... There was an online forum I used to frequent. It's been years. I don't recall how to get there. I assume you know which I'm talking about. Does it still exist?
@DiscipleW
@DiscipleW 2 жыл бұрын
I woke up and this was playing on the background
@MossawirAhmed
@MossawirAhmed 2 жыл бұрын
Seriously. Same here
@InnocentFieldHockey-sq8ws
@InnocentFieldHockey-sq8ws 20 күн бұрын
@@MossawirAhmed
@user-go5vf3mu6f
@user-go5vf3mu6f 19 күн бұрын
Bruhhh same tf
@A-xm3kgBdedrtrtf5fufdjf9IJUOj7
@A-xm3kgBdedrtrtf5fufdjf9IJUOj7 4 күн бұрын
🤣🤣🤣
@user-nx3kt5wi3z
@user-nx3kt5wi3z 6 ай бұрын
Assuming that everyone has had or currently has a learning capacity you realize that environment plays a huge part.
@AayushR25
@AayushR25 13 күн бұрын
From sleeping on a Geopolitics video to landing here, I am stunned😅
@l4zycod3r
@l4zycod3r 2 күн бұрын
I’m pretty happy to be awaken by a such interesting lecture. Will watch it again
@tentativeentertainment3363
@tentativeentertainment3363 4 күн бұрын
Watching this on my way to sleep for all the people who are waking up to this, it might break the cycle. 🙏💪
@alirezamarahemi2352
@alirezamarahemi2352 Жыл бұрын
Excellent explanation, excellent figures, and animations, awesome speaking! Looks like a dream course!
@TheLightofaidan
@TheLightofaidan 11 күн бұрын
I just woke up and this was playing. Now I better just know how to program a new LLM or I’ll be really upset.
@rr2b
@rr2b 4 ай бұрын
Thanks 🙏 I finally have some understanding of why cnn’s work!
@miinyoo
@miinyoo 27 күн бұрын
I knew an engineer brother of a friend who was working on how best to implement gradient descent into NNs years and years ago. I think he was one of the ones who gave up before CNNs became a widely used method. He certainly isn't a NN engineer anymore. He went on to predictive logistics which resembles RNN but really it was a much simpler feedback loop and balancing input versus output. Part of the Just in Time production to delivery process. Likely, the processing power and tech in the 90's wasn't powerful enough to realize the emergence big data is capable of now. Kinda wonder what he would have done had he been doing that 25 years later than he was. I know that he uses advanced NNs now of various types for his job but at this point he is an implementer rather than a developer. Tuning plays a big role.
@shin-ishikiri-no
@shin-ishikiri-no Күн бұрын
I suddenly opened my eyes and dreamed about this video while sleeping with my tai chi instructor at my beachfront property. Unreal.
@UnchainedEruption
@UnchainedEruption Жыл бұрын
Wow first time I’m actually glad I learned calculus in school. Nice to see it useful outside of the classroom.
@maximiliansgodzay3284
@maximiliansgodzay3284 Жыл бұрын
T
@navinsonkar7195
@navinsonkar7195 Жыл бұрын
भघ
@zilog1
@zilog1 7 ай бұрын
Yep. Everyone thinks they know better. "I'll never use this!" Then why are they trying to teach it to you? 🙄
@Dutezy
@Dutezy 21 күн бұрын
just cus they tryna teach it doesnt mean its necessary or objectively useful. most schools dont teach how to do taxes, and those are mandatory @@zilog1 🙄
@XGX-OP
@XGX-OP 11 күн бұрын
@@zilog1 Most people never use it again
@normalchannel4747
@normalchannel4747 2 жыл бұрын
KZbin is a good detector of sleep
@marius.y6360
@marius.y6360 2 жыл бұрын
Oh, so I wasn't the single one falling asleep watching something then ended up here being confused
@nononoah8
@nononoah8 2 жыл бұрын
Amen
@tet9011
@tet9011 2 жыл бұрын
@@marius.y6360 me as well😂
@yahyaelfarh9624
@yahyaelfarh9624 2 жыл бұрын
@@marius.y6360 ⁹
@flick6569
@flick6569 2 жыл бұрын
Ur right
@miinyoo
@miinyoo 27 күн бұрын
If you're an audio guy, Squash functions are just compression by factor of Ratio (r). Threshold is the pickup weight input and knee is smoothing of weights between input and output over a certain range. And there you go. Compression in a nutshell. However the dB peak scale is non-linear. The dB scale is power of 2x10dB. That's what makes it the most confusing. So a ratio of 10 to keep it simpler is double the volume at the threshold gradually weighting less until the set peak where compression is zero. The knee rolls off that effect by a dB factor at a specified loudness and breadth of its impact. Seems gaussian to me. I don't know how the math works at the knee but it gives a smoother transition from boosted to left alone. So in a typical simple compression threshold at -24dB with 10 ratio would result in threshold at -12dB tapering to -10dB, -8dB, -6 and so on until you hit zero assuming your highest peaks are 0dB which is bad. Then you adjust the output to -8 or -14 depending on the sound and that scales the whole curve downward unaltered relatively by whatever output dB you set. If your threshold was boosted by compression to -12dB and you scale it down in output by -8dB then your threshold after processing will be -20dB tapering off up to -8dB in the same curve it had before the output was scaled down. That's why you have to adjust input vs threshold vs ratio vs knee vs output to get the best out of simple compression. Multiband compression is the same thing just much more complicated as it accounts for frequency where you can specify within a certain frequency range how much compression you'd like. Overlap them and yeah that gets quite complicated but it's super useful to getting the right sound especially in dialogue to grab and manipulate the loudness of tonality and sibilance while rejecting the background noise or any echo or unwanted reverb. The same principles apply in NNs in more of a deterministic and mathematical way. It entirely depends on the architecture and what it is used for as you are taking a larger dynamic range of inputs and compressing them to a smaller range of outputs. That's why CDs in the 90's Redbook audio was 16 bits wide. 2^16 made for 65536 levels of volume for any given sample. That was enough because it was replacing cassette tape which had horrible dynamic range. Now it's standard to have 24 bit audio which has a vastly higher dynamic range of 16,777,216 levels of volume at any given sample. For production and processing it's common to have 96 bit audio which has 7.92281625 x 10^28 levels of loudness. That's technically not better than analog but no human would ever be able to tell the difference. It helps computers and audio processing make very very accurate changes.
@wagyubeans1399
@wagyubeans1399 23 күн бұрын
oh word !
@deang5622
@deang5622 13 күн бұрын
Quite a pointless post really. Going to tremendous depth using an analogy to explain neural networks. Far better to understand the network rather than your analogy. And yes, I used to work in audio engineering. Analogies are useful as a means of explaining, of education, but your analogy is so specialised it has very little use in educating people.
@idontknowwhatthischannelis4127
@idontknowwhatthischannelis4127 2 күн бұрын
i was thinking who in the world would watch something like this 3.5 million times
@PixelPioneer176
@PixelPioneer176 5 ай бұрын
Marvelous work! If this captivates you, there's a book with similar themes you’ll want to explore. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
@tombmore
@tombmore Ай бұрын
One of those videos you get hooked to when backed
@mbunds
@mbunds 2 жыл бұрын
Wonderful, elegant explanations! This is the way to present the basics of a hugely scalable system!
@dannyfrost2621
@dannyfrost2621 2 жыл бұрын
Right lol you and at and I yyyg
@HassanAhmed-rf9xr
@HassanAhmed-rf9xr 2 жыл бұрын
@@dannyfrost2621 an me
@nishanmainali3359
@nishanmainali3359 2 жыл бұрын
@@HassanAhmed-rf9xrk,
@jeremytritle3980
@jeremytritle3980 8 ай бұрын
W😅 w😮😮 1:11 1:11 1:12 1:12 was
@jeremytritle3980
@jeremytritle3980 8 ай бұрын
@@HassanAhmed-rf9xra
@nappyn8fillmore
@nappyn8fillmore 23 күн бұрын
I am also here on complete purpose. And can’t stop watching.
@mariageorgieva3568
@mariageorgieva3568 15 сағат бұрын
This was eye-opening
@rbrisita
@rbrisita 22 күн бұрын
@7:40 at the last bottom-right neuron on the third layer; shouldn’t the connected weights be positive (white) to get the desired output of the horizontal pixels?
@TESTING-re2ol
@TESTING-re2ol Жыл бұрын
What should be confusing is your vision or at least your conclusion! but the global context is great
@adcaptandumvulgus4252
@adcaptandumvulgus4252 19 күн бұрын
This was on with no way to stop it for several minutes. I think Murphy was trolling me today
@xdcountry
@xdcountry Күн бұрын
Is it weird that this video is explaining how/why this video ended up playing in my ears while I was asleep/sleepy in the middle of the night?
@_c_y_p_3
@_c_y_p_3 26 күн бұрын
Thank you for making this!
@captainduck5552
@captainduck5552 14 сағат бұрын
Why have so few actually chosen to watch this video, I woke up at 4am to it playing
@YoungGrizzly
@YoungGrizzly 5 жыл бұрын
This is great.learning neural networks while I drive to work. The internet is beautiful 😍.
@MadScientist267
@MadScientist267 8 ай бұрын
2:27:45 So your neural network has a neural network lol... I was thinking along similar lines right before you said this... "It could translate to the "rough doesn't fool a human" and then be "translated" again by a network that understands the specific language quirks better and has been trained on natural speech... But the straight intermediate (Latin? Lol) sounds better... I don't guess it even has to be a real existing language even, so long as it is set up to minimize "lost in translation" errors. You've got one of the clearer presentation methods for me... This stuff is really making sense now finally lol
@ezsu
@ezsu 20 сағат бұрын
Wishing you goodluck keep it up 🙏
@thealex23ro
@thealex23ro 2 жыл бұрын
does anybody know where I can find the result mentioned at 40:10 ?
@jesusmejia1334
@jesusmejia1334 3 күн бұрын
Apparently everyone waking up to this including myself 😂
@AdiLevinson
@AdiLevinson 6 күн бұрын
I like other woke up and this was playing. However, it narrated my entire dream
@ValarMorghulis805
@ValarMorghulis805 7 ай бұрын
If you can us any shape coulad you use a Golden Torus mandala or hipnotic eye. I would try a this shape but it would Spiraled Like a slinky within a slinky?
@dalegriffiths3628
@dalegriffiths3628 3 жыл бұрын
Nicely explained. One thing near the start is that sigmoid only goes from 0 to 1 (It's tanh (x) that goes -1 to +1)
@seriouscoder1727
@seriouscoder1727 2 жыл бұрын
They r related ,, nice point to mention
@smitbarve7209
@smitbarve7209 3 жыл бұрын
Watching this before the TensorFlow tutorial.....
@user-if1ly5sn5f
@user-if1ly5sn5f 21 күн бұрын
So super quick, the brain is measuring space time and aligning to it and the more it has to cross reference and integrate, the more data to pull on and weigh the differences, the more aligned the brain is to the current. So the images and thoughts are measurements so not entirely false. If it’s a measurement then we align more to be more accurate. We aren’t really finding “unreal” that’s just a word that means it isn’t current not not existent. Like a chair in a tree or a child before it’s born. Potentials waiting to be exposed by measurements and then reflected through the portions we can bring it out. I know it sounds crazy but the images you see in the head aren’t real but can be pushed that direction through the measurements and reflecting them through our actions and such.
@dannyboio37
@dannyboio37 8 күн бұрын
So if they are saying the jet stream will straighten that intern will reduce the strength of low pressure systems. Also if the jet stream drops lower that will then make more areas cooler. P.s the golf stream is not the same as the conveyor belt
@shake6321
@shake6321 3 жыл бұрын
Brandon; great video! where can we find more visual representations of adding curves? @40:00 you begin to combine curves. how and where does one learn more?
@user-bb9lx9gu7c
@user-bb9lx9gu7c Жыл бұрын
Fourier series comes to mind. Basically, add a bunch of simple but different curves together to get one complicated but continuous curves.
@whannabi
@whannabi Жыл бұрын
@@user-bb9lx9gu7c Fourier ne fout rien à la fourrière.
@michaelbacchiocchi8111
@michaelbacchiocchi8111 7 ай бұрын
@@whannabi😂
@enduga0
@enduga0 3 ай бұрын
can you tell me if laptp with i5 12 h 16 gb ram intel iris xe good for neural network training.
@teassister
@teassister Күн бұрын
i clicked on this because i was curious just to discover that i watched the entire thing sometime when i was sleeping
@MachineLearningwithPhil
@MachineLearningwithPhil 5 жыл бұрын
Simple and intuitive explanations. Thanks!
@wolfisraging
@wolfisraging 5 жыл бұрын
Exactly like yours.
@MachineLearningwithPhil
@MachineLearningwithPhil 5 жыл бұрын
@@wolfisraging Thanks bud!
@MultiNemanja90
@MultiNemanja90 2 жыл бұрын
D@@MachineLearningwithPhil
@MultiNemanja90
@MultiNemanja90 2 жыл бұрын
r@@MachineLearningwithPhil ssss
@MultiNemanja90
@MultiNemanja90 2 жыл бұрын
r@@MachineLearningwithPhil ssss
@cozziegirl
@cozziegirl 6 күн бұрын
so glad im not the only one who woke up to this vid in the middle of the night lol
@SimranSingh-iq7gk
@SimranSingh-iq7gk 4 жыл бұрын
BEST CHANNEL, THANKS FOR FREE STUFF.
@sivanatarajan4763
@sivanatarajan4763 4 ай бұрын
I don't understand how is it that we wont be able to make a rule to identify which pixel is bright and which is not, but be able to assign values from -1 to 1 depending on the brightness or darkness ?
@C4A
@C4A 4 жыл бұрын
This is such a great tutorial! Thank you for making it. I will share the video with students interested in neural net and deep neural networks.
@tylerkendrick8271
@tylerkendrick8271 6 ай бұрын
Uu
@jasonjohnson3175
@jasonjohnson3175 5 күн бұрын
I woke up and this was on my phone lol
@Spiratix
@Spiratix 2 күн бұрын
So to be the first, I’d just like to say my journey consisted of falling asleep to a video about why a magnet on the front of a car wouldn’t work, then it went to cursed units of measurement, then it went to professor Dave explains and then I ended up here, all in all I’ve been asleep for about 3 hours and I need more sleep… Anyone else wanna share the journey?
@pyromaniatic706
@pyromaniatic706 Күн бұрын
I started by watching “why therapy sucks for men” I then fell asleep, and KZbin showed me what gaming does to my head, to then finish here, it would’ve been Waaaay more if didn’t have my console on auto rest mode
@hawkeyeplank
@hawkeyeplank 2 жыл бұрын
1 am and he finally hits me with the human level intelligence section
@rubensandwhich2182
@rubensandwhich2182 2 күн бұрын
If only life was like that one episode of Dexter. I’d be a quantum physicist by now
@jeromeeusebius
@jeromeeusebius 2 жыл бұрын
@3.56, the activation function shown is tanh (-1 to 1) not a sigmoid/logistic (0 to 1).
@vishnuvasansrinivasan7797
@vishnuvasansrinivasan7797 2 жыл бұрын
but the activation function can be anything right!!! It can be anything related to what the input is all about like: ReLU, Sigmoid, tanh, etc...
@GermanischeTutorials
@GermanischeTutorials 2 жыл бұрын
Essentially, the sigmoid function is equivalent to a tanh function just multiplied by some factor (as well as the argument)
@ulfschack
@ulfschack Жыл бұрын
At 9:30 please agree that that last weight from the black solid to the output ”solid” should’ve been _black_ (because minus x minus = plus) and not white. Or I will have understood nothing
@chape1
@chape1 2 күн бұрын
I needa watch this again dude I lost track at the 40 minute mark
@chape1
@chape1 2 күн бұрын
All I remember are all networks are nodes
@mateuszabramek7015
@mateuszabramek7015 2 жыл бұрын
First 30s wrong example but good video in general. Yes, you can simply detect what pixels are dark, what are lighter, there is function for that. Also 4 pixels is bad example because you could create like 8 if statements define tolerance (same tolerance as in Photoshop which is distance between colors) and it would outperform every model.
@SchoolScienceProjects
@SchoolScienceProjects 2 жыл бұрын
I like looking down my You-Tube while listening to this.
@raihanmdsiqbal9097
@raihanmdsiqbal9097 5 жыл бұрын
Please make a video on computer networking and competitive programming
@joeblack8843
@joeblack8843 Ай бұрын
there is so much stuff to understand, just in the first few minutes
@GregMoress
@GregMoress Жыл бұрын
I 'get' what NNs can do, but how do we make the leap for it to draw an Astronaut on a horse in space from a text request?
@olisad5413
@olisad5413 13 күн бұрын
Good vid.. Now how did I end up here? Just woke up. I love how our phones allow companies to sneakingly listen to us😂
@tuongnn
@tuongnn 4 жыл бұрын
May be my english not good and i did not understand correctly. So can anyone help me explain why at 1:09:51 error of O is not -0.51, i mean 0 - 0.51 = -0,51. Thank advance
@seriouscoder1727
@seriouscoder1727 2 жыл бұрын
Maybe the multiplied isnt it?
@209_Violate
@209_Violate 22 күн бұрын
Thank you for the video :)
@philswede
@philswede 2 ай бұрын
Greetings from Sweden! You, Sir, just got yourself a new subscriber 🎉
@WickedTwitches
@WickedTwitches 2 жыл бұрын
This is a lot of videos smashed into one. Honestly, excellent work.
@GuinessOriginal
@GuinessOriginal 11 ай бұрын
Where would he place GPT4 on his generality performance graph? Must be a step change
@lincolndawkinsable
@lincolndawkinsable 4 ай бұрын
Very clear.....thank you
@dishmaco
@dishmaco Жыл бұрын
7:40. The bottom right neuron is supposed to be inverted. 2 black on top and 2 white on the bottom. The negative weights should actually be positive weights.
@nargesmokhtari9613
@nargesmokhtari9613 11 ай бұрын
Exactly
@nargesmokhtari9613
@nargesmokhtari9613 11 ай бұрын
Exactly
@_goldfish
@_goldfish 9 ай бұрын
Exactly
@_goldfish
@_goldfish 9 ай бұрын
Exactly
@michaelbacchiocchi8111
@michaelbacchiocchi8111 7 ай бұрын
Would the vectors need assigned values/weights in that case? Isn’t this just an example?
@Backpacker4life
@Backpacker4life 2 жыл бұрын
much respect
@tuberroot1112
@tuberroot1112 7 ай бұрын
What happens if you ask a neural network that the plural of BIAS is? Does it say BIASEEEZ ?
@DavidDelgadoDRC-ED2
@DavidDelgadoDRC-ED2 3 жыл бұрын
I fell asleep with my PC on When I woke up I saw this. Interesting. I did take differential calculus in college and programming for other reasons. Now I have an understanding of neural networks.
@TokyobuckettsLive
@TokyobuckettsLive 2 жыл бұрын
Yo!Same thing happened to me,awesome
@HassanAhmed-rf9xr
@HassanAhmed-rf9xr 2 жыл бұрын
@@TokyobuckettsLive yes not similar but i was charging my portable charger a left the vids on so it could charge. Came back later an saw this thought it was interesting an now im here hehe.
@LG-qz8om
@LG-qz8om 6 ай бұрын
Is that what you call "deep learning"? ;-)
@champloo2941
@champloo2941 Жыл бұрын
i woke up in 3am from this youtube works in weird ways
@lysthze3112
@lysthze3112 18 күн бұрын
Just woke up, don’t know where I am or how I ended up here
@iamsan-san8094
@iamsan-san8094 8 күн бұрын
same, last thing i remember was veritasium explaining game theory
@crispandskimmerleotarddjteam
@crispandskimmerleotarddjteam 29 күн бұрын
Thanks!
@Psychx_
@Psychx_ 5 ай бұрын
Finding the mimimum error is an optimization problem. Shouldn't quantum computers be exceptionally good at solving those?
@iSawMoe
@iSawMoe Жыл бұрын
Damn they got me again 🤦🏾‍♂️ When I went to sleep I was watching Sanford and Son 😂
@BlueDewOG
@BlueDewOG Жыл бұрын
Woke up to this playing
@60pluscrazy
@60pluscrazy 2 жыл бұрын
Fantastic explanation 👌
@seriouscoder1727
@seriouscoder1727 2 жыл бұрын
46:28 in b those have a corelation too
@AlessandroOrlandi83
@AlessandroOrlandi83 3 жыл бұрын
Amazing video, thanks!
@BibboRacing96
@BibboRacing96 15 күн бұрын
The end of the playlists, this video
@iammac5813
@iammac5813 6 күн бұрын
Why was this playing as i woke up , damn
@railyulgutlin7128
@railyulgutlin7128 2 жыл бұрын
Can anyone explain please - why in @7:40, the last(3rd) layer and the last neuron(4th) is horizontal in the bottom, shouldn’t it be horizontal on the top because of black synapses? Thank you!
@vincentmeessen6659
@vincentmeessen6659 2 жыл бұрын
You are right it should be horizontal on the top of the square for the 4th layer. He just made a error when creating the PowerPoint ;)
@owerty
@owerty 9 күн бұрын
I just woke up to see this video playing on my tablet ahaha
@enderdude7777
@enderdude7777 10 күн бұрын
I fell asleep watching emkay and somehow this came up
@alakshendraveer
@alakshendraveer 2 жыл бұрын
Thanks for sharing
@michaelkilgore
@michaelkilgore 2 жыл бұрын
I'm only a minute or two in but this is amazing... I'm understanding it so well that I'm considering learning to code
@vinobrien5738
@vinobrien5738 2 жыл бұрын
⁰4
@ahmad.alotaibi
@ahmad.alotaibi 7 ай бұрын
@@vinobrien5738t😅aaà
@karolguzikowski4812
@karolguzikowski4812 3 жыл бұрын
Fantastic, thank you.
@BurlapJones
@BurlapJones 2 күн бұрын
Why did we all wake up with this on our phone?!
@phillialevine
@phillialevine 2 күн бұрын
Not the comments all stating that they woke up to this bc same 😂 he has a good voice tho
@chanvue8151
@chanvue8151 Күн бұрын
Scary part is I don’t even think my phone was playing a video as it has no history before this video played 😨
@Yaddlezap
@Yaddlezap 2 ай бұрын
So do we already have neural nets trained to play n-dimensional chess?
@muskyoxes
@muskyoxes 2 жыл бұрын
Seems like neural net teaching comes in two forms - math or python libraries. It'd be cool to see an intermediate form - some code that implements the math but isn't a library.
@seriouscoder1727
@seriouscoder1727 2 жыл бұрын
kzbin.info/www/bejne/l5rVlHSoqtuhgc0 And one more from dayako
@kristoffersvartbkkengrinda4029
@kristoffersvartbkkengrinda4029 2 жыл бұрын
@@seriouscoder1727 Super good video. 3blue1brown is really good at everything mathematics. And a good teacher.
@trevortrevose9124
@trevortrevose9124 Жыл бұрын
Ong so true not everyone likes python
@allenklingsporn6993
@allenklingsporn6993 7 ай бұрын
All of the libraries mentioned are open source, meaning that you can go read the source code. Honestly, though, understanding the content is going to be much more difficult with the source code because it would take away several levels of abstraction that are implementing highly technical details. Doing this, for example, with Pandas or numpy (or worse, with straight python) would take quite a long time and be useful to almost no one, negating the investment into a video.
@allenklingsporn6993
@allenklingsporn6993 7 ай бұрын
​@@trevortrevose9124Packages are also available in R, C#, and several other languages, friend. Python is for sure the easiest and most popular general purpose programming language to use, though.
@micheal1210
@micheal1210 17 күн бұрын
I just woke up and turned my phone on to this??
@virtuososino4844
@virtuososino4844 3 жыл бұрын
Poetic language. you are not only a CS enlightener
@chickens367
@chickens367 4 ай бұрын
i feel asleep and woke up to this playing like 2 hours in
@putzigetajwanu
@putzigetajwanu 2 ай бұрын
2:35:00 - i wonder how they will ever figure out how to deal with self driving on UK roads with all it's different types of roundabouts from a mini single lane and just a white circle painted in the middle, to huge juntions on A-Roads/Dual-Carriageways and Mototorways with 4 - 6 lanes, with and without traffic lights, spiral where you must 'Get in Lane' for your intended exit plus making the left turn with other cars to the left and right for your intended destination without crashhing. Not to mention the 'magic roundabout' and except at lights to allow neat queue to form, unmarked multilane roads around Buckingham Palace, maintaing separation without lane lines like flying VFR. I'd be sh*tin myself if AI is to take me thru those places narrow country roads, or the Rotherhithe Tunnel that looks more like a bike lane.
Reinforcement Learning Course - Full Machine Learning Tutorial
3:55:27
freeCodeCamp.org
Рет қаралды 514 М.
[1hr Talk] Intro to Large Language Models
59:48
Andrej Karpathy
Рет қаралды 1,6 МЛН
Fail haircut 💇‍♀️🪀🏓 #hair #cut #haircut
00:26
Swasti Ji
Рет қаралды 14 МЛН
have you already done this?😭🙏❓
00:19
LOL
Рет қаралды 6 МЛН
Miss Delight show something (Poppy Playtime 3 Animation)
00:11
Transition parfaite 😍😂
00:15
Nicocapone
Рет қаралды 21 МЛН
The Oldest Unsolved Problem in Math
31:33
Veritasium
Рет қаралды 6 МЛН
AWS Certified Cloud Practitioner Training 2020 - Full Course
3:58:01
freeCodeCamp.org
Рет қаралды 4,2 МЛН
How Quantum Computers Break The Internet... Starting Now
24:29
Veritasium
Рет қаралды 8 МЛН
Python Django Web Framework - Full Course for Beginners
3:45:41
freeCodeCamp.org
Рет қаралды 4 МЛН
How The Most Useless Branch of Math Could Save Your Life
35:21
Veritasium
Рет қаралды 6 МЛН
Why It Was Almost Impossible to Make the Blue LED
33:45
Veritasium
Рет қаралды 18 МЛН
Why is this number everywhere?
23:51
Veritasium
Рет қаралды 324 М.
Machine Learning & Neural Networks without Libraries - No Black Box Course
3:37:32
Fail haircut 💇‍♀️🪀🏓 #hair #cut #haircut
00:26
Swasti Ji
Рет қаралды 14 МЛН