Quick and correct ans will get upvote for sure

C. Consider the following RNN with one hidden node/input/output node and weights and biases as shown below. Activation functions f(x) and g(x) are sigmoid(). y weight W3 weight w h blas b3 weight W2 bias b Also note, h = f(w+w2th-1-12) y = g(wah, b). - Determine weights (w1, w2, w3), biases (b1, b2) so that the RNN initially outputs 0, but as soon as it receives an input of 1, it switches to outputting 1 approximately for all subsequent time steps. For instance, the input 0001010 (left to right) produces the output 0001111 (left to right). The hidden unit has an initial value of 0. w1, w2, w3 can be only +20, -20 or 0, and b1, b2 are +ve multiples of 10 only. Show all steps clearly. Assume sigmoid(input>= 10)=1 and sigmoid(input