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
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Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
How to avoid overflow in the logistic function?
A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
Explain in detail Neural Networks?
What are the disadvantages of artificial neural networks?
How does ill-conditioning affect nn training?
Why use artificial neural networks? What are its advantages?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What are the population, sample, training set, design set, validation set, and test set?
Which is the similar operation performed by the drop-out in neural network?
What is a neural network and what are some advantages and disadvantages of such a network?
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