1
For what purpose, hamming network is suitable?
Correct Answer
classification
☑ MCQ PRACTICE
Neural Networks and Deep Learning Unit 2
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
Neural Networks and Deep Learning - Unit-2
2
What does the activation value of winner unit is indicative of?
Correct Answer
greater the degradation less is the activation value of winning units
3
What does the matching score at first layer in recognition hamming network is indicative of?
Correct Answer
similarity of input pattern with patterns stored
4
What is the objective of feature maps?
Correct Answer
to capture the features in space of input patterns
5
How are weights updated in feature maps?
Correct Answer
updated for winning unit and its neighbours
6
In self organizing network, how is layer connected to output layer?
Correct Answer
each input unit is connected to each output unit
7
What is true for competitive learning?
Correct Answer
all of the mentioned
8
Use of nonlinear units in the feedback layer of competitive network leads to concept of?
Correct Answer
pattern clustering
9
Kohonen self-organizing map referred to
Correct Answer
It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks
10
Vector quantization is used for
Correct Answer
All of the above
11
Vector quantization is used in
Correct Answer
Speech coding
12
Characteristic of a vector quantizer
Correct Answer
Multiple input symbols are represented by one quantization index