1
What is purpose of Axon?
Correct Answer
transmission
β MCQ PRACTICE
Neural Networks and Deep Learning Unit 1
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
Neural Networks and Deep Learning - Unit-1
2
When the cell is said to be fired?
Correct Answer
if potential of body reaches a steady threshold values
3
The amount of output of one unit received by another unit depends on what?
Correct Answer
weight
4
The process of adjusting the weight is known as?
Correct Answer
learning
5
What is adaline in neural networks?
Correct Answer
adaptive linear element
6
In adaline model what is the relation between output & activation value(x)?
Correct Answer
linear
7
what is the another name of weight update rule in adaline model based on its functionality?
Correct Answer
LMS error learning law
8
State whether Hebbβs law is supervised learning or of unsupervised type?
Correct Answer
unsupervised
9
Learning is a?
Correct Answer
slow process
10
What is supervised learning?
Correct Answer
weight adjustment based on deviation of desired output from actual output
11
What is unsupervised learning?
Correct Answer
weight adjustment based on local information available to weights
12
What is the objective of backpropagation algorithm?
Correct Answer
to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly
13
What is true regarding backpropagation rule?
Correct Answer
all of the mentioned
14
What are general limitations of back propagation rule?
Correct Answer
all of the mentioned
15
Does backpropagaion learning is based on gradient descent along error surface?
Correct Answer
yes
16
How can learning process be stopped in backpropagation rule?
Correct Answer
on basis of average gradient value
17
What is the objective of associative memories?
Correct Answer
to store association between patterns for later recall of one of patterns given the other
18
What is objective of linear autoassociative feedforward networks?
Correct Answer
to associate a given pattern with itself
19
What is the objective of a pattern storage task in a network?
Correct Answer
both to store and recall
20
If the weight matrix stores the given patterns, then the network becomes?
Correct Answer
autoassoiative memory
21
If the weight matrix stores association between a pair of patterns, then network becomes?
Correct Answer
heteroassociative memory
22
What is the objective of BAM?
Correct Answer
to store a set of pattern pairs and they can be recalled by giving either of pattern as input
23
The junctions that allow signal transmission between the axons terminals and dendrites are called ______________
Correct Answer
synapses
24
In Neural Networks learning processes, Learning with a teacher is also referred to as _________ learning
Correct Answer
supervised
25
___________ Learning is a feedback-based Network technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions.
Correct Answer
Reinforcement
26
The __________ is used to control the amount of weight adjustment at each step of training.
Correct Answer
learning rate
27
The weight updating in case of perceptron learning, if yβ t is _______________
Correct Answer
wi(new) = wi(old)+Ξ±txi
28
Madaline stands for ________________
Correct Answer
Multiple Adaptive Linear Neuron
29
In Adaline learning rule is found to minimize the _________ error between the activation and the target value.
Correct Answer
least mean square (LMS)
30
The training of the Back Propagation Network is done in ___________ stages
Correct Answer
three
31
CAM stands for ________________
Correct Answer
Content Addressable Memories
32
In the _________ associative memory network, the training input vector and training output vector are the same.
Correct Answer
auto
33
The BAM is a __________ associative pattern-marching network that encodes binary or bipolar patterns using Hebbian learning rule
Correct Answer
Recurrent hetero