generate functionMon, 20 Feb 2023

Implement the Neuron class, which will have several methods: __init__. It takes as input an array of neuron weights --- w=(w1,…,wn) , as well as an activation function f (by default, f(x)=x ). Stores the weights and the function inside the class. forward. It takes as input an array x=(x1,…,xN) --- neuron inputs. Returns f(w1x1+…+wnxn) . backlog. Returns the last array x that was passed to the forward function. class Neuron: def __init__(self, w, f = lambda x: x): #YOUR CODE HERE def forward(self, x): #YOUR CODE HERE def backlog(self): #YOUR CODE HERE

class Neuron: def __init__(self, w, f = lambda x: x): self.w = w self.f = f def forward(self, x): self.x = x return self.f(sum(self.x*self.w)) def backlog(self): return self.x def __call__(self, x): return self.forward(x)

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