Forward propagation

In $[]$: import numpy as $np$

def forward$\_$propagation$($x$,$ weights$)$:

$"""$

Perform forward propagation for one perceptron.

Parameters:

$x$ : Input data.

weights: Weights matrix including the bais at weight$[0]$

Returns:

$1.$

$y$ : the prediction. Output of the perceptron $($either $0$ or

$"""$

# Write your code here

return y

Use the following cell to test your solution in the previous cell. Here is a list of correct answers:

$\backslash$table$[[$input data,predicted label$],[0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}3,1]]$

In $[]$: # Example usage if$\_$name$\_\_==""$:

# Sample input data for one example

$x=np.$array $([0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}3])$ # Input features

weights $=$ np$.$array $([0\mathrm{.}1,0\mathrm{.}5,0\mathrm{.}3,0\mathrm{.}2])$ # Weights matrix i ncluding bias at weights$[0]$

# Perform forward propagation to make a prediction

prediction $=$ forward$\_$propagation$($x$,$ weights$)$

print$("$Input data:", x$)$

print$("$Prediction:$",$ prediction$)$