1. Neural Network Basics [Tutorial with Python code]

Welcome to this introduction to neural networks.
Git repository for the exercices : github.com/alexandrelefourner...

[@ariseyhun2085]

With the xor_gate_pure_neuron exercise, I ended up doing:
or_result = or_gate(entry_1, entry_2)
and_result = and_gate(entry_1, entry_2)
return activate(or_result - and_result)
I didn't realise I was supposed to use wieghts but I guess it's pretty much the same thing

[@LeximusDeepLearning]

Indeed. It is just that your weights do not appear here.
The main purpose of this exercice was to understand how things perform inside the black box to create an inference.

[@memento9979]

Simpler : the not_gate simply returns activate(1 - activate(entry))

[@LeximusDeepLearning]

Absolutely.
The purpose of this cell was to show an easier approach to understand... but this 2 layers approach is what you would see in a conventional neural network

[@ujjwalbagrania3134]

NameError in first cell
NameError: name 'test_activation' is not defined

[@LeximusDeepLearning]

Hello!
It's likely you only took the notebook but did not download the required library you need.
It is available at this link: github.com/alexandrelefourner/neural_networks_tutorial/tree/master/lexml
My advice would be to install git and execute the command as follow. Or go to the link "github.com/alexandrelefourner/neural_networks_tutorial" then click on "Clone or Download", next "download as zip".
This way, you have everything you need for the tutorial :)

[@whoisabishag3433]

"Hey, Where Are The French Subtitles"!"🤣

[@LeximusDeepLearning]

I don't use french subtitles. The video is translated here :
ua-cam.com/video/s5X64fmAqUo/v-deo.html