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What are combination, activation, error, and objective functions?
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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 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
How neural networks became a universal function approximators?
Explain in detail Neural Networks?
What learning rate should be used for backprop?
What is backprop?
What are neural networks and how do they relate to ai?
What are the applications of a Recurrent Neural Network (RNN)?
How are layers counted?
How are nns related to statistical methods?
Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned
How artificial neural networks can be applied in future?
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