The figure below shows a Recurrent Neural Network (RNN) with one input unit x. one logistic hidden unit h, and one linear output unit y. the RNN is unrolled in time for T = 0, 1, and 2. the network parameters are: W_xh = 0.5, W_AA = -1.0. W-hy = -0.7, h_bias = -1.0, and y_bias = 0.0. Remember, sigma (k) = 1/1 + exp (-k) If the input x takes the values 9, 4, -2 at time steps 0, 1, 2 respectively, what is the value of the hidden state h at T - 2? Give your answer with at least two digits after the decimal point