In a Multi-layer Perceptron (MLP) ANN, what does an individual neuron compute ? Group of answer choices 1. A neuron computes the mean of all features before applying the output to an activation function 2. A neuron computes an activation function followed by a linear function (z = Wx + b) 3. A neuron computes a function g that scales the input x linearly (Wx + b) 4. A neuron computes a linear function (z = Wx + b) followed by a non-linear activation function
In a Multi-layer Perceptron (MLP) ANN, what does an individual neuron compute ? Group of answer choices 1. A neuron computes the mean of all features before applying the output to an activation function 2. A neuron computes an activation function followed by a linear function (z = Wx + b) 3. A neuron computes a function g that scales the input x linearly (Wx + b) 4. A neuron computes a linear function (z = Wx + b) followed by a non-linear activation function
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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In a Multi-layer Perceptron (MLP) ANN, what does an individual neuron compute ?
Group of answer choices
1. A neuron computes the mean of all features before applying the output to an activation function
2. A neuron computes an activation function followed by a linear function (z = Wx + b)
3. A neuron computes a function g that scales the input x linearly (Wx + b)
4. A neuron computes a linear function (z = Wx + b) followed by a non-linear activation function
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