Perceptron Algorithm with Code Example - ML for beginners!

In this video we will talk about the perceptron and code it together! 🧠
Perceptron is single node in an artificial neural network 🤖
It's an an algorithm (a set of instructions) 📃 that's meant to mimic a neuron inside a human brain! We will discuss all the different components of perceptron and in the very end - we'll of course implement what we have learned with Python 🐍 to fully understand the math and logic behind the concepts!

💻 Get the complete perceptron code! 💻

(the above script runs on the cloud - no need to install Python 😉)

🛑 BEFORE YOU WATCH THIS VIDEO 🛑
Watch my Simple Introduction to Artificial Intelligence: 🤖🧠

🛑 AFTER YOU WATCH THIS VIDEO 🛑
Watch my Error Function - Cross-Entropy Loss Tutorial:

****************************************
🧐 TIMESTAMPS 🧐
****************************************
00:00 - perceptron definition
00:33 - real life example
01:40 - perceptron example
02:04 - perceptron input
02:15 - perceptron weights
02:45 - weighted sum
03:00 - threshold / bias
03:20 - activation function (step function)
03:58 - key notes
05:04 - python perceptron
08:36 - thanks for watching!
****************************************

All the beautiful icons in the video are from:

[cxvxcbcxn]

I've watched many Python tutorials on YouTube, some good, some not so much...but I really love how yours are truly "simplified" and easy to follow! Amazing for total beginners like myself! Subscribed!

[itsmeintorrespain]

Oh boy! At 73 yrs old I'm finally able to begin to understand Neural Networks. Thankyou so much.

[felixnyamongo]

Love how you explained it to me. I usually get discouraged by tutorials that make it seem very complex but you have made it easily digestible for me. Thanks

[khafrewatkins]

This made the Perceptron concept much more clear and easy to understand. Not a given on youtube. Thanks Python Simpliefied!

[fallinginthedp]

This has to be the simplest and easiest to understand tutorial on perceptrons in Python. All other tutorials hit you with linear algebra right from the start but this looks at concepts and then code. Well done.

[becayebalde]

I listend to your episode on the Superdatascience podcast
To say things in simple terms, you are GREAT at simplifying things!
Now I understand my homework, thank you!

[rex]

I'm loving this AI and ML series! I don't think I have the brain for Math, but I still find ML and in particular DL fascinating, so will continue watching and hope that something you teach sticks. 🙂

[helloworldcsofficial]

An example with the added bias will be a good next video. Thanks for this one!

[geenstagni]

Absolutely brilliant ! You are doing the world a favor truly by making these simple yet beautiful tutorials!

[keithcroxford]

Great tutorial! Seeing the perceptron and activation function makes it much more clear.

[Poto]

I'm still very new to Python and I don't recall exactly how I stumbled upon your tutorials - but this got me hooked. For one, my brain is absolutely on fire right now, thinking of things I'd like to automate or outsource to a digital brain. Speech recognition based on spectrograms. Perfecting pastry recipes based on scientifically analyzed chemical/physical interactions between ingredients. Or translating legislative econo-babble into sensible, comprehesible bullet-points. IF that's possible. And two: I love Python's syntax. So elegant and concise, especially with regards to variables. My entry drug was C++ but these days I dabble in webdev these days, and 3 out of 10 times I'll forget the mandatory $ in PHP. And don't even get me started on --var ;)

[utkarshkapil]

Exactly the kind of explanation I was looking for, THANK

[DanteMishima]

Now why wasn't it explained like this to me before?

Great video

[ajithdevadiga]

Crystal clear Explanation with great code demonstration.
Thanks you.

[deavea]

a weeek! a freeking week wasted on trying to understand woh it works! Thank you!

[redlerenergy]

Thank you for this video!!!! You are the best teacher in my life! I couldn't this info about ML a long time. really thank you for your skills and time to record this video! Please continue to create videos about this topic!)

[DMohammadAman]

The way you explained is awesome, the support of python code gives lot of Confidence in understanding the primitive of NN. Thank you

[mikoajobara]

Best python chanel i have seen yet, thanks for help !

[frankhabermann]

I suggest to make the input an actual input of the perceptron function, this would come in handy if you want to combine several perceptrons to a neuronal net later on. Also, with more neurons, you gonna need the scalar product much more often - maybe use the numpy dot function or implement the scalar product once and keep the rest of the code lean (avoid unnecessary for loops for readability) . Besides that, I think your short babystep videos on that topic might be a very good introduction for beginners. Keep it up.

[Annajiraochalla]

I really thank YouTube for suggesting this video. This video is just perfect (simple and very helpful). This is how Tutorials should be. Thanks & Subscribed.