The figure below shows a Recurrent Neural Network (RNN) with one input unit x. one logistic hidde…

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The figure below shows a Recurrent Neural Network (RNN) with one input unitz, one logistic hidden unit h, and one linear output unit y. The RNN is unrolled in time for T 0.1, and 2. Why hh Wxh T 2 T-1 The network parameters are Wrh 0.5, Whh 1.0,Wi 0.7, h 1.0, and 0.0. member, o(k) ybias 1+exp(-k) If the input z takes the valu 9, 4, -2 at time steps 0, 1,2 ectively, what is the value of the hidden state h at T 2? Give your answer with at least two digits after the decimal point.

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.

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