
Backpropagation Algorithm Quiz
Authored by Merlin D
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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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