What are artificial neural networks?
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What is artificial intelligence neural networks?
What are combination, activation, error, and objective functions?
Which is the similar operation performed by the drop-out in neural network?
Explain in detail Neural Networks?
A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
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
What are the population, sample, training set, design set, validation set, and test set?
Describe the structure of artificial neural networks?
An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
What are neural networks? What are the types of neural networks?
How are nns related to statistical methods?
What is backprop?
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