Consider the forward function , fill out the value for the if statement marked BLANK . 456789321        for (l, linear_transform) in zip(range(L), self.hidden):            if #BLANK                  activation = torch.relu(linear_transform(activation))            else:                activation = linear_transform(activation)        return activation        L=len(self.hidden)    def forward(self, activation):# Section 2: 1 pointl>Ll > L-1l<L-1

Consider the forward function , fill out the value for the if statement marked BLANK . 456789321        for (l, linear_transform) in zip(range(L), self.hidden):            if #BLANK                  activation = torch.relu(linear_transform(activation))            else:                activation = linear_transform(activation)        return activation        L=len(self.hidden)    def forward(self, activation):# Section 2: 1 pointl>Ll > L-1l<L-1

The Leslie Matrix is ：L = [ 2.2 4.2, 0.1 0]. Use the L to calculate L3

The value 3 is an upper bound for the zeros of the function shown below.A.TrueB.FalseSUBMITarrow_backPREVIOUS

If a number is added to the end of a function it will result in a Blank 1 Question 10 transformation.

ct the correct answerObserve the following Python code?def x(num):  if num == 0:    return 0  else:    return num*x(num - 1)def y(num, ct):  if num == 0:    return ct  else:    return y(num-2, ct-2)