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 neuror 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 3 5.2 -5.2 -3.2 -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), i.e., the value of 1 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 5.1 4-6 -2.6

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 neuror 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 3 5.2 -5.2 -3.2 -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), i.e., the value of 1 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 5.1 4-6 -2.6

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.

Question

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:
-4.8
5.9
3
5.2
-5.2
-3.2
-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), 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
5,1
4-6
-2.6

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