How are weights initialized in a network?
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What is a Neural Network?
Explain in detail Neural Networks?
What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What are the disadvantages of artificial neural networks?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned
How neural networks became a universal function approximators?
How artificial neural networks can be applied in future?
What are neural networks? What are the types of neural networks?
What is a neural network and what are some advantages and disadvantages of such a network?
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