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
What is the advantage of pooling layer in convolutional neural networks?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
Explain Generative Adversarial Network.
How are layers counted?
What is a Neural Network?
How to avoid overflow in the logistic function?
What are the applications of a Recurrent Neural Network (RNN)?
Explain neural networks?
what are some advantages and disadvantages of neural network?
What are cases and variables?
What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. d) None of the mentioned
. 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
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