Who can help with backpropagation for a neural Network?

Question

I want to implement a simple neural Network that can be Trained to learn a linear function. However i dont know how to calculate and Programm the backpropagation to adjust the weights. Can someone complete my code?

https://code.sololearn.com/cVv975Cjod5b/?ref=app

Answer 1

First,you can use neural network in JS and python!

Answer 2

I found some issues with your code :
1) you should normalize data be for using them to get better results :
You can see this where I used averages
2) you need just two weights since you have only two variables as input
3) to optimize weights , the following formula is used if you have only one output :
Wi = Wi - (y1-y0)*xi*alpha
You missed x with y in your code😅
https://code.sololearn.com/cAJC71HTgQ2S/?ref=app