In a forward propagation mechanism for a neural network with 2 input nodes, 1 hidden layer...

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In a forward propagation mechanism for a neural network with 2 input nodes, 1 hidden layer with 2 nodes, and 2 output values and a logistic activation function, we have the following input data: x1 = (0,1) and x2 = (1,0). All weights in the network are 1. What are the final output values? O (0.5, 0.76) O (0,0) O (1,1) O (0.5, 0.5) In a forward propagation mechanism for a neural network with 2 input nodes, 1 hidden layer with 2 nodes, and 2 output values and a logistic activation function, we have the following input data: x1 = (0,1) and x2 = (1,0). All weights in the network are 1. What are the final output values? O (0.5, 0.76) O (0,0) O (1,1) O (0.5, 0.5)

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To calculate the final output values well go through the forward propagation steps for each input da... View the full answer