Please answer all three python questions with work provided.

Consider a neural network with one hidden layer. If it has 2 input nodes, 3 nodes in the hidden layer, and 6 nodes in the output layer, how many single-output neurons are there in the entire neural network? Consider the following neuron. Given weights (w1,w2,w3)=(0.2,0.8,0.2) and the constant b=1, calculate the value of y for given (x1, x2,x3)=(4,4,4) after the forward feeding process when sigmoid is used as the activation function. Round your answer to two decimal places. Question 7 Consider the following neuron. Given weights (w1,w2,w3)=(0.3,0.3,0.5) and the constant b=1, calculate the value of y for given ( x1, x2,x3)=(1,5,4) after the forward feeding process when the ReLU is used as the activation function