(Solved): Apply the backpropagation algorithm to find the new weights of a feedforward ...

???????

Apply the backpropagation algorithm to find the new weights of a feedforward neural network after applying the input-output pattern \( (\{1,1\}, 0) \), where \( \{1,1\} \) are two inputs, and 0 is the output. Assume the network has a single hidden layer with 2 neurons and all weights (including bias in hidden and output layers) are initially zero. The learning rate is \( 0.1 \) and all neurons use the sigmoid activation function. [20 MARKS]