What are combination, activation, error, and objective functions?
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How does ill-conditioning affect nn training?
What are the disadvantages of artificial neural networks?
How neural networks became a universal function approximators?
What are artificial neural networks?
What learning rate should be used for backprop?
. 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
Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
How are layers counted?
Explain neural networks?
Which is the similar operation performed by the drop-out in neural network?
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
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
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