X Consider the following 1-hidden neural networks with 2 inputs and a single output: Input Layer...

 

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X Consider the following 1-hidden neural networks with 2 inputs and a single output: Input Layer R W, b 0 W 0 Hidden Layer R W2 W y We can write the below equation for the given neural network: y = w/o (w/x+b). The loss function for training this neural network is: 1(yt) = (y-1). Consider the activation function as Sigmoid and values for parameters as: 0.5 0.5 -[5] [] []-8 1 0.5 Output Layer e R t=1 Show the sequence of steps in backpropagation to get. (Hint: o'(x) = a(x)(1-a(z)), You may use intermediate variables in your answer.) X Consider the following 1-hidden neural networks with 2 inputs and a single output: Input Layer R W, b 0 W 0 Hidden Layer R W2 W y We can write the below equation for the given neural network: y = w/o (w/x+b). The loss function for training this neural network is: 1(yt) = (y-1). Consider the activation function as Sigmoid and values for parameters as: 0.5 0.5 -[5] [] []-8 1 0.5 Output Layer e R t=1 Show the sequence of steps in backpropagation to get. (Hint: o'(x) = a(x)(1-a(z)), You may use intermediate variables in your answer.)