3. The figure below shows a Recurrent Neural Network (RNN) with one input unitx, one logistic...

 

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3. The figure below shows a Recurrent Neural Network (RNN) with one input unitx, one logistic hidden unit h, and one linear output unit y. The RNN is unrolled in time for T=0,1, and 2. Y h X Why Wxh T=0 y xh The network parameters are: W Ybiar = 0.0. Remember, a(k) - h X T=1 0.5. Wh 1 1+exp(-k) Whh y h X T=2 =-1.0. Why-0.7. biar-1.0, and 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. 3. The figure below shows a Recurrent Neural Network (RNN) with one input unitx, one logistic hidden unit h, and one linear output unit y. The RNN is unrolled in time for T=0,1, and 2. Y h X Why Wxh T=0 y xh The network parameters are: W Ybiar = 0.0. Remember, a(k) - h X T=1 0.5. Wh 1 1+exp(-k) Whh y h X T=2 =-1.0. Why-0.7. biar-1.0, and 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.