Please draw out the matrices with explination attached

$4-(3$ points$)[$Following Signals Through a Neural Network$]$ Assume that we have a neural network with three layers as follows. Note that Each neuron uses Sigmoid function as the activation function.

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Hidden layer

nitnit laver

a$.(1$ point$)$ Build two weight matrices: one for the connections between the input layer and the hidden layer, and one for the connections between the hidden layer and the output layer.

b$.(1$ point$)$ Assume the input is $(0\mathrm{.}7,0\mathrm{.}2,0\mathrm{.}6).$ Calculate the output of neurons in hidden layer. Make sure to pass the output of linear regression to the sigmoid function.

$(1$ point$)$ Given the output of the hidden layer that you calculated in the previous part,

calculate the output for the output layer. You need sigmoid here too.

NOTE: Please write step by step with the numbers included.