What are artificial neural networks?
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Explain in detail 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 the population, sample, training set, design set, validation set, and test set?
. Why are linearly separable problems of interest of neural network researchers? a) Because they are the only class of problem that network can solve successfully b) Because they are the only class of problem that Perceptron can solve successfully c) Because they are the only mathematical functions that are continue d) Because they are the only mathematical functions you can draw
What are the disadvantages of artificial neural networks?
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Explain neural networks?
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How to avoid overflow in the logistic function?
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