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An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron O 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 Neur al Network 4.8 5.9 46 5.2 -5.2 27 26 Bias 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), ke., 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. Fil the blank by typing your answers for the output of neurons. below. (Round your answer to the nearest thousandth, ie. 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

An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron O 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 Neur al Network 4.8 5.9 46 5.2 -5.2 27 26 Bias 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), ke., 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. Fil the blank by typing your answers for the output of neurons. below. (Round your answer to the nearest thousandth, ie. 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

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron O 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: -4.8 5.9 5.2 -5.2 32 2.6 -2.7 Bias 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), ie., 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
Transcribed Image Text:An Artificial Neural Network contains 2 neurons in the Input Layer (called neuron O 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: -4.8 5.9 5.2 -5.2 32 2.6 -2.7 Bias 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), ie., 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
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