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
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
How does ill-conditioning affect nn training?
What are the applications of a Recurrent Neural Network (RNN)?
What are neural networks? What are the types of neural networks?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
How human brain works?
What are the population, sample, training set, design set, validation set, and test set?
Why use artificial neural networks? What are its advantages?
What is the advantage of pooling layer in convolutional neural networks?
what are some advantages and disadvantages of neural network?
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
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