ฝัง
- เผยแพร่เมื่อ 15 ก.ค. 2024
- How do you code a neural network from scratch in python? What is a neural network and how does it remember things and make decisions? That's what we examine in this tutorial. We will explore the basic math behind the inner workings of a feed-forward neural net and I try to explain it as easily as possible. This is supposed to be a neural net for dummies video. :) And along the way, we will together code our own neural network in Python from scratch.
If you are interested in deep learning, machine learning, ai or data science, this tutorial might be a good start in the world of artificial neural networks for you! The python code explained in the video tutorial is linked here in the description.
🙏 Support me: / kiecodes
🛰 Join our Discord, to interact with other Coders and me: / discord
🧠 Pick my brain: calendly.com/kiecodes/ai-cons...
Check out my newest video: • How to use the OpenAI ...
The code written in this video can be found on GitHub:
github.com/kiecodes/intro-neu...
Questions of the day:
■ What is your favorite Whisky?
Timestamps:
00:00 Intro
00:59 What you will learn
01:50 What is a neural network?
03:48 The math of a neuron
09:39 The activation function
12:25 Programming a neuron
15:42 Limitations of one neuron
17:27 Constructing the XOR-Net
18:38 Programming the XOR-Net
---
This video contains advertising content.
---
Attribution:
■ Biological Neuron Illustration By Quasar Jarosz at English Wikipedia, CC BY-SA 3.0, commons.wikimedia.org/w/index...
#python #machinelearning #neuralnetworks - วิทยาศาสตร์และเทคโนโลยี
![ชวนน้องลงทุ่ง - เงาะน้อยเพชรบ้านแพง X น้องมายด์ [ Music Video ] Official Saman Music](http://i.ytimg.com/vi/Bq7Hw9culjE/mqdefault.jpg)
![[LIVE] ใครคุยเรื่องบอล "พ่องตาย" #คุยให้เด็กมันฟัง EP.43 (13/7/67)](http://i.ytimg.com/vi/8bHYL8RuBqs/mqdefault.jpg)
Hey Coders! 🤓
In this video, we will write our first neural net from the ground up. No external libraries needed. On the way, we will also explore the math of a neural net. And I really tried to make it understandable, even if you don't consider yourself a math genius. Please let me know if this video helped you to understand NNs a little bit better. Cheers! 🥃
You nailed it once again
Thank you! I am glad you like it.
This is really well done and explained. Thank you for this. The only thing that irritated and annoyed me throughout the video is the "blubb" sound when you showed an image or changes to them.
Hey Stefan, thanks for your kind words and your feedback. I am still figuring out my style on all regards and constructive criticism is always more than welcome. So thank you again! 🙏
Brilliant! Thanks for putting this together. Looking forward to the next one!
Hey Mike! Thank you for your kind words. 🙏 I am already working on the next one.
I found you through your genetic algorithms video, you are an amazing teacher and you really got me excited about learning again :)
Wow. Thank you for your kind words. Comments like yours really help me finish the next video.
You channel is so underrated, you deserve so much more subscribes ! Many thanks to your efforts, you are great !
Thank you. 🙏
This is unbelievable! So many concepts clarified in 20 minutes! Thank you so much for your efforts!
Thank you very much! 🙂
Thanks for the video, the most simple explanation of principal of work neural network 🎉
just today found you searching about genetic algorithms and fell in love with that😊. i request you to make a tutorial series about machine learning plzzzz
I am on it. My coming videos will be about neural nets, genetic algorithms and other ML techniques. It is really an exciting topic to talk about. Thank you for your kindness! 🙏
Great stuff! Looking forward to the future videos!! Exciting 2021
Thanks Elliot! Me too. I hope it will be fun ride. 🙏
Great video! Best explanation I’ve come across. You’ve earned a subscriber. Keep it up!👍🏾
Thank you so much! 🙏
Ohhhh my lords... this was one of the, if not, THE BEST video on neural networks(machine learning) that I came across on this platform. I love your explanation style and the way you simplify everything... I won't lie, I had given up on Machine Learning and Artificial Intelligence because there was just sooooo much to learn at the same time. This video alone helped me reignite the fire I needed to start learning this topic with great curiosity. Thank you so much for making such an amazing video!
(I'm definitely recommending this channel to all of my juniors at my college)
💜💜💜
Oh wow. Thank you. Comments like yours keep me going. 🙏
Can't wait any longer, must watch this video 😳
Now is your time. 😎
Duuuude, you are incredible! Please dont stop researching neural networks
Thank you. 🙏
Hey! I just found your channel and subscribed, love what you're doing!
I appreciate how clear and detailed your explanations are as well as the depth of knowledge you have surrounding the topic! Since I run a tech education channel as well, I love to see fellow Content Creators sharing, educating, and inspiring a large global audience. I wish you the best of luck on your TH-cam Journey, can't wait to see you succeed! Your content really stands out and you've put so much thought into your videos!
Cheers, happy holidays, and keep up the great work!
Thank you for your kind words, EmpowerCode. 🙏
@@KieCodes No problem!
Genuine coder produces genuine NFTs. You'll make big name soon.
Thank you. 🙏
Fascinating stuff. I'd like to learn more about the types of problems and also the types of data-structures that neural nets are suited to.
Thanks Robert! I will try to address that. 🙂
you are amazing. your videos helped me a lot in my phd research. wish I could buy you a coffee
You are more than welcome my friend. 🙏 Rock on! 🚀
Nice video man. Well explained
Thank you. 🙏
I don't usually write youtube comments, but i have to say that this video explained the concept so well
Thank you. 🙏
Nice one man! Anything soon about Harmony Search algorithms?! Can't wait for more videos!
Thank you! What do you mean by Harmony Search algorithms? Do you have any links regarding to this?
Really good videos and very entertaining.
Thank you. 🙏
Bro, we missed you!)
Thank you. I will be back.
Great video
Thank you for your kind words, Meguellati Younes. 🙏
Disappointed that you don't like Lagavulin or Laphroaig. Those are my favourite. But fantastic video! You got a sub!
On second glance you must not like peat eh
I used to be a fan of Laphroaig but somehow got away from smokey Whiskys.
bro where are you other next videos on this topic ?
for a moment i thought you gonna implement neucler bumb because of your acsent
Sir on quantum artificial intelligence🤖 please
OMG! You don't like Talisker 10! Despite that, thank you for the very well explained tutorial!
You are very welcome. 🙏
Maybe we can use difrent activation for single neuron. Or mix of some activation
Sure! You can do that!
@@KieCodes THX,
Hey! It's been a while since I've seen you active, I hope you're doing well!
Thank you. I am okay. My normal life as a software developer currently gets the best of me unfortunately.
@@KieCodes no problem, I get that😅
Take care!!!
Great angle. Not seem anywhere else! (and I watched more than 20 videos of basics of AI!)
Liked your videos a lot.
1:14 Is it like training a neural network with a certain amount of data?
Hey I am not sure what you are asking giving the timestamp. Could you elaborate?
I'm sorry, I got hung up on your words "given task". I was thinking, does that refer to neural network machine learning?@@KieCodes
If you have multiple layers, how do you determine what the next {forward} bias and weights are?
What do you mean by determine?
@@KieCodes The biases for any following layers are just randomly selected, like done for layer 1?
Thanks for the video. Im new to python, but not to programming and ai, but I just want to throw this in, I don’t think that neural networks work at all like real neurons, why do I say that, because we humans don’t spend hours and hours learning what an object is, we see it once and that’s it. that’s it.
Humans have a better training algorithm.
But how do you explain we don't know how to walk when we are born '-'
@@cristianhenriquez1355 Well, we learn, but what i m saying is that we don’t learn the way neural networks learn, because we can feel the data, computers cannot, we also don’t need to see millions of images to know what a face is, or we don’t need to see millions of people walking to learn how to walk, we also learn how to do things in different ways, one person will learn something, but not do it exactly like the other person, and we are always learning and no one is training us.
Are you referring from Neural Networks, Fuzzy Logic and Genetic
Algorithm: Synthesis and Applications
Hey, no I don’t. I just googled it and found out it is a book. Maybe I should read it. Have you? Is it good?
@@KieCodes We have it in our syllabus, it used same logic, xor example. and few diagrams, felt like you are referring same
I dont like books, i just scroll on how it looks and found that.
No. XOR is just very very common example to explain the linear separation problem. I learned that example from Andrew Ng, maybe he read that book. 😅
@@KieCodes 😁
sir how can we get the value of NAND as [1.5,-1,-1] OR as [-0.5,1,1] and AND as [-1,1,1]. Can you please explain this? Thank you so much sir.
do you know it yet?
Please explain this part as I am not sure where how these numbers were defined?
whats the next video after this?
Thats a good question …
That was painful, interesting but painful.
I hope it was not too painful and you’re good now. 😅
@@KieCodes lol
Show me the Neurons!
Here they are! 😎
Are these sound effects from Half-Life 2?
Haha. Nooo. 😅
"Congratulations, you just programmed your first neural net in Python" - whoopsie, i hate Python sorry, so i just translated the example to c++, hope it still count....
Great stuff!