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Backpropagation Algorithm Quiz

Authored by Merlin D

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Backpropagation Algorithm Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the objective of backpropagation algorithm?

to develop learning algorithm for multilayer feedforward neural network

to develop learning algorithm for single layer feedforward neural network

to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly

none of the mentioned

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is true regarding backpropagation rule?

it is a feedback neural network

actual output is determined by computing the outputs of units for each hidden layer

hidden layers output is not all important, they are only meant for supporting input and output layers

none of the mentioned

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the general tasks that are performed with backpropagation algorithm?

pattern mapping

function approximation

prediction

all of the mentioned

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can learning process be stopped in backpropagation rule?

there is convergence involved

no heuristic criteria exist

on basis of average gradient value

none of the mentioned

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not a step in backpropagation algorithm?

Feed-forward computation

Backpropagation to the output layer

Backpropagation to the input layer

Backpropagation to the hidden layer

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements is not true about backpropagation?

Initially the weights are assigned at random

The algorithm iterates through many cycles of two processes until a stopping criterion has reached

Each epoch includes a forward phase and a backward phase

The whole cycles of execution together are known as an epoch

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What will be the final value of f(x, y, z) from the below figure given that x = -5, y = 7, and z = 14?

28

-105

16

-133

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