Study the scenario and answer the question. * 0.2 A WA,B=0.2 0.8 B AB=0.4 Assume that B is an intermediate node of a neural network, the forward propagation values of nodes A and B are 0.2 and 0.3; the associated error AB of node B that was computed by the back propagation algorithm is 0.4, the learning rate y is assume to be 0.5. How does the backpropagation algorithm update the weight WA, B of the edge that connects node A and B? What is the new value of weight WA,B?

Study the scenario and answer the question. * 0.2 A WA,B=0.2 0.8 B AB=0.4 Assume that B is an intermediate node of a neural network, the forward propagation values of nodes A and B are 0.2 and 0.3; the associated error AB of node B that was computed by the back propagation algorithm is 0.4, the learning rate y is assume to be 0.5. How does the backpropagation algorithm update the weight WA, B of the edge that connects node A and B? What is the new value of weight WA,B?

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

Assume DBSCAN is run for the following dataset with MINPOINTS-3 and
epsilon=5, what are the points that are not core or border points?
A dataset consisting of object A, B, C, D, E, F with the following distance matrix is
given:
distance
A
B
с
D
E
F
E and F
D and F
E and C
O A and F
A
0
B
1
0
C
2
3
0
D
4
8
11
0
E
6
9
12
14
0
F
7
10
13
15
16
0

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