Given a neural network, its structure is shown below. z;" is the output of the linear part of th neuron in layer l; a = g(z) is the output of the activation part of jth neuron in layer I and g(z) is the activation function. X13 X₂ T Xn' ..... Am [1][1] z₂a₂ [1] za TW IN za z[²][²] [2][2] [2] [2] az

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
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(Forward propagation) Given a training example (?⃗, ?), ?⃗ ∈ ℝ* and the
parameter matrixes are ?^[1],?^[2],?^[3], ?^[1],?^[2],??? ?^[3], what is the output ?4 of the above
neural network example? 

Given a neural network, its structure is shown below. z." is the output of the linear part of ith
neuron in layer l; a¹ = g(z) is the output of the activation part of jth neuron in layer I and
g(z) is the activation function.
X₁
x₂
1
Xn
[1]
[1][1]
za
z[¹]|a²²]
Z3
[1] [¹]
a4
XXIS
[2][2]
z₁ a
[2][2]
z₂a₂
[2]
[3][3]
Z₁9₁
Transcribed Image Text:Given a neural network, its structure is shown below. z." is the output of the linear part of ith neuron in layer l; a¹ = g(z) is the output of the activation part of jth neuron in layer I and g(z) is the activation function. X₁ x₂ 1 Xn [1] [1][1] za z[¹]|a²²] Z3 [1] [¹] a4 XXIS [2][2] z₁ a [2][2] z₂a₂ [2] [3][3] Z₁9₁
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