APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
All of the mentioned are true
|
|
|
(ii) and (iii) are true
|
|
|
(i), (ii) and (iii) are true
|
|
|
None of the mentioned
|
Detailed explanation-1: -Explanation: Neural networks have higher computational rates than conventional computers because a lot of the operation is done in parallel. That is not the case when the neural network is simulated on a computer. The idea behind neural nets is based on the way the human brain works.
Detailed explanation-2: -1 Answer. Features of Neural Networks: Neural Network systems are modeled on the human brain and nervous system. They are able to automatically extract features without input from the programmer.
Detailed explanation-3: -Explanation: It can only perform pattern recognition, rest is not true for a single layer neural.
Detailed explanation-4: -Which of the following is true about model capacity (where model capacity means the ability of neural network to approximate complex functions) ? Only option A is correct.