How are nns related to statistical methods?
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How artificial neural networks can be applied in future?
What are combination, activation, error, and objective functions?
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
Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
Are neural networks helpful in medicine?
Explain Generative Adversarial Network.
List some commercial practical applications of artificial neural networks?
What can you do with an nn and what not?
How are weights initialized in a network?
How to avoid overflow in the logistic function?
What are the population, sample, training set, design set, validation set, and test set?