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10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
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- Опубликовано: 6 авг 2024
- In this video, I move beyond the Simple Perceptron and discuss what happens when you build multiple layers of interconnected perceptrons ("fully-connected network") for machine learning. Code: thecodingtrain.com/tracks/neu...
🎥 Previous: • 10.3: Neural Networks:...
🎥 Next: • 10.5: Neural Networks:...
References:
🔗 Make Your Own Neural Network: www.amazon.com/Make-Your-Own-...
🔗 Perceptrons: www.amazon.com/Perceptrons-In...
🔗 Perceptron: en.wikipedia.org/wiki/Perceptron
🔗 Intelligence and Learning: github.com/nature-of-code/NOC...
🔗 My video on AND and OR: • 3.3: Else and Else if,...
🔗 My video on Perceptrons: • 10.2: Neural Networks:...
🔗 kwichmann's Learning XOR with a neural net: kwichmann.github.io/ml_sandbo...
Related Coding Challenges:
🚂 • Coding Challenge #105:...
🚂 • Coding Challenge #92: ...
Timestamps:
0:00 Introduction
1:54 Classification example
3:19 Perceptrons
3:48 Linearly separable problems
5:07 XOR
15:22 Outro
Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound
🚂 Website: thecodingtrain.com/
👾 Share Your Creation! thecodingtrain.com/guides/pas...
🚩 Suggest Topics: github.com/CodingTrain/Sugges...
💡 GitHub: github.com/CodingTrain
💬 Discord: thecodingtrain.com/discord
💖 Membership: ruclips.net/user/thecodingtrainjoin
🛒 Store: standard.tv/codingtrain
🖋️ Twitter: / thecodingtrain
📸 Instagram: / the.coding.train
🎥 • Coding Challenges
🎥 • Start learning here!
🔗 p5.js: p5js.org
🔗 p5.js Web Editor: editor.p5js.org/
🔗 Processing: processing.org
📄 Code of Conduct: github.com/CodingTrain/Code-o...
This description was auto-generated. If you see a problem, please open an issue: github.com/CodingTrain/thecod...
#neuralnetworks #perceptron #javascript
One year ago I was watching your tutorials on how to draw squares on a canvas with code. One year later I'm trying to build machine learning models, also with the help of your tutorials. I'm not even a CS student, I'm a pianist!
great! Do u play in concert??
A happy face always helps to learn with ease and fun. Keep it up man !
yes, is so true
Sir, the question is how can a person who is in this field be this happy? lol :P
Well, i have to say you can be elected for the best teacher award. You are simply a perfect teacher.
I'm here because the coursera course instructor in the class I'm taking just can't explain it with as much joy and happiness as you. I feel like the information I'm getting here is paired with enthusiasm and that's the way it should first be introduced to my brain.
Taking it back to Boolean Algebra makes it very clear why MLPs are a natural solution to the XOR problem, thank you. Nobody's done that yet in anything I've seen, even though it's obvious in hindsight and maybe should have been obvious in advance.
It's because of your teaching that I've decided to pursue a career in this field. A brilliant balance of fun and seriousness.
Best of luck to you!
Did you pursue?
I love how excited you are explaining this.
I found you years ago when I needed to learn steering algorithms. You made the math and algorithm simple(r) to understand and your videos are a lot like a drop of sunshine in my day. It reminds me of Reading Rainbow when I was a youngster. Now I am back to continue my work on CNNs. And there you are again in my suggested videos :D
Keep going man, I wish you were my teacher from college. Fun, smiles and learning together. Such a great experience to learn with you, 15 minutes passed like nothing but full of knoweledge. Love from Brazil! Keep going!
An excellent and exciting explanation! This is exactly what I was looking for in trying to understand the motive behind the multi-layer perceptron. Not to be taken for granted!
Amazing teacher.I have my semester exam tomorrow and was searching a lot about multi layer perceptron on the internet and wasn't able to find good explanation.thank god I found your video.💙
Man, you have no idea how the content you're creating is useful and interesting GOOD JOB
You teach this subject with such passion. It is kinda getting me excited about learning it too
The way you teach is fun , it's like you're yourself enjoying teaching, which us students love ...one could fall in love with the knowledge presented here!!
This video is a great example of why your channel is one of my favorites.
Good job The topic is very interesting, what's more interesting is the way he teaches☺
I literally want this sort of sense of humour in my college professor. Thanks for saving my semester. Love from India.
"Maybe you just watch my previous videos on the Perceptron"
Yes. Yes I did.
Linearly separable and linearly not separable explanation is the best explanation! It's now logical, why there are multiple layers was required! GREAT! Thank you!
Outstanding explanation of linearly separable. You make it very easy to understand why multiple perceptrons are required. Plus I love Boolean logic. Thank you.
I have been trying for quite some time to figure out what the "hidden layer" is, how it works and what the purpose is. So many others either get right up to that subject and then stop posting, or talk about it as if I should already know.
So for some time, I have only been able to do simple perceptrons.
Now I finally understand that hidden layers are just layers of multiple perceptrons being pushed into other perceptrons, where each perceptron has been trained to complete a different task.
Thank you!
What a master. We are really fortunate to have Daniel as instructor here on RUclips!
Loved the way you are teaching...I have already known mlp but your way of teaching makes me watch it again
OMG. Best video of NN basics concepts by far. And craziest too. Very fun to watch. Congrats!!!
You're the BEST CS TEACHER THAT I NEVER HAD
I was extremely happy when I discovered that you had posted a video on a topic that I was searching for.
Great videos and tutorials, Big fan here. Cool that you dont just make code but also explain the concept at beginning.
I haven't heard this great an explanation before on RUclips, great stuff!
I actually love your enthusiasm!!!!
If every black kid in the hood had a teacher like this they'd all succeed at understanding this easily; why? Because this guy's likability makes you want to learn. When you enjoy the person teaching you, you will usually enjoy 'what' they're teaching you. The 'capacity' to 'understand' has very little to do with 'achievability' in human affairs & 'thinking' certainly pertains to human affairs. I'm understanding concepts I've never encountered before, not because I'm 'smart', but because the instructor in this video is interesting, funny, has a charm individually his own and is not intimidating or threatening in anyway, least of all, neither is he boring. Every young person deserves a teacher like this.
This dude is so awesome, I can watch him teach all day. Love you, pal.
Cool to see how you linked the "Linearly Seperable" terminology to the boolean Truth tables! - Learned something applicable and new!
You are outstandingly interesting. Keep going!
Thanks for the nice feedback!
I like you. You are the ideal teacher. The genuine sincere pleasure of teaching what you love to others. I can feel that love.
third! Really appreciating these tutorials, much friendlier than others!
Thanks, that's nice to hear!
Your answer to "But what is XOR really?" at 10:46 was just what I needed! Thank you!
I'm really enjoying those videos. Thank you very much for all your hard work.
More excited to watch your videos. keep rocking with your enthusiasm
Holly Juice. That was an amazing explanation. My Professor at the uni confused me a lot . but this video made my day
What a nice teacher.
truly enjoying the way you teach and convey your knowledge..
plz keep going.....
Teachers like you are so rare. Gem.
this video just made me simply happy. Great Thanks from Pakistan. NUST needs to hire such professors
Awesome explanation! You are so gifted!
Goodjob! Quite interesting topic
thank you so much man! your videos are the best I found about the subject. you are a genious!
So Much Excitement you have to share knowledge ......i liked that gesture .... keep it up dude ...Thank you
Awesome. Your way of teaching is perfect.
Love this video. Explained it really well. I have an exam on Wednesday which covers MLP and the functions of layers and neurones. This should help form my answer.
the only channel with no haters ! amazing sir! good luck love you
I'm speechless. What a beautiful explanation!
Interesting, so basically same analogy to electronics building Logic gates from transistors. You kind like add they together to get more complex operations. Very good material. Keep going, I'm really into this
Man, I'm speechless, god level explanation 🔥🔥🔥
you can only lunch if you are hungry AND thirsty. love the videos :)
Amazing explaining... Magically deliver a complex topic
Nice way you have explained the basics, thanks 😊
Brilliant ! I really enjoy your video. Keep doing good job !!!
it is a unique talent to teach and bring smile at the same time.
Wow..
Amazing thank you so much for this video ! You're really an excellent teacher ! :D
Really enjoyable class!
How can someone dislike his video
.he seems to be a genuine happy man..exuding joy...let him be :) The kind of excitement he has towards his code is what I need towards my life ;)
You should be given your own show on the science network. More educational, fun, engaging and entertaining than 99% of the crap we pay for. Better than most courses I have seen on programming. Bill Nye + Bob Ross + Mr. Rogers. 11/10
Fantastic explanation! This is just what I need.
Give this man some Concerta! Lol, in all honesty, I love being taught by people who are passionate about what they do. Keep it up!
I've seen a lot of videos about neural networks, both advanced ones (which go over my head) and beginner ones (which are too general). That XOR example in this video was an epiphany for me! Now I have an intuitive sense of what makes neural networks so special (vs., say, linear classifiers.) Now I feel like I'm finally ready to go deeper into this subject
I'm so happy to hear this!
@@TheCodingTrain Yah, that bit about how a single layer network can only solve linearly-separable problems, and how hidden layers fix this limitation, finally makes intuitive sense to me thanks to the XOR example. Thanks! Not sure if you cover this in subsequent videos, but I'd be interested to hear your take about why having multiple hidden layers can be useful, vs. just one hidden layer.
i realy love the way you teaches. good work keep up.
These videos are fantastic!
Very Nicely Explained. Great Tutorial
Outstanding teaching method, really thank you.
this man has ENERGY
6:57 genius. Very effective teacher
Amazing content, great work :)
Awesome explanation, subscribed!
Thank you Sir for making concepts easier.
I got that click where you suddenly understand a concept, by watching this video, thanks so much
ur teaching style is really awesome....
What a genius teacher you are . Appreciate you sir
Damn Dan you seem to be such a lovely person and I say it as a man! Keep doing these tutorials becouse I don't know if there is any other channel on yt explaining neural networks on code as good as you do it.
this is more than just an Neural Networks tutorial! thx
Great example of the need for more than one perceptron layer for the XOR.
Beautiful presentation
Im loving your channel
Thanks for teaching us assembly, sensei.
You are amazing bro.keep it up.i m learning a lot from you
Thank you!
Very well explained and expressed 👌🙏
Great classe, great professor. Thanks for sharing it with us.
Woweeeeee ... Another level of explanation
Love your energy!
Thanks, man. Helpful and funny!
Great video as usual Dan, I'm looking forward to the sequel =)
On a side note, I think everyone here understands !AND but the usual way is to call this gate NAND (for Not AND).
oh, hah, yes, good point!
Thank you for making these videos
U made me understand better than any simplified notes.......
Dude, thanks for the lessons, keep doing them, plz, thanks.
Thanks!
u are realy very good when u learing ..thank u for this vedio
Thanks, excellent explanation
Sir, your method is Excellent
awesome and easy explanation. thanks!
Thank you!
I love the way you explain things, energetic but informative, loving these videos!
11.40 very well explained thankyou!!
Thank you SO much!!!!!! example is great!
Amazing explanation