human
I am working on the file "2.Backpropagation.ipynb".
The first task is:
using a least squares loss function $\mathcal{L}(y,t) = (t-y)^2$,
Can you write Python code for it?

Can you provide a the Python code you requested?
assistant
#Here is the Python code you requested.

class loss:
    def __init__(self):
        pass
    def evaluate(self,model,x,t):
        #Evaluates the loss function L(y,t)
        y = model.forward(x)
        return (t-y)*(t-y)