An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron 0 and neuron 1), 2 neurons in the middle layer or hidden layer (called neuron 2 and neuron 3), and one neuron in the output layer (neuron 4). The depiction shows the structure of this Neural Network:

Assume that the activation function used for all neurons is "logistic function" and the Bias is 1. If an input is given to the Input Layer as (1,0), i.e. , the value of 1 will go the Neuron 0 and value of 0 goes to Neuron 1, calculate the outputs for Neurons 2, 3, and 4. Fill the blank by typing your answers for the output of neurons. below. (Round your answer to the nearest thousandth, i.e. 0.01583 will be entered as 0.016 or .016)

An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron 0 and neuron 1), 2 neurons in the middle layer or hidden layer (called neuron 2 and neuron 3), and one neuron in the output layer (neuron 4). The depiction shows the structure of this Neural Network: Assume that the activation function used for all neurons is "logistic function" and the Bias is 1 . If an input is given to the Input Layer as (1,0), i.e. , the value of 1 will go the Neuron 0 and value of 0 goes to Neuron 1, calculate the outputs for Neurons 2, 3, and 4. Fill the blank by typing your answers for the output of neurons. below. (Round your answer to the nearest thousandth, i.e. 0.01583 will be entered as 0.016 or .016) Output of Neuron 2 is Output of Neuron 3 is Output of Neuron 4 is