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
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
What are conjugate gradients, levenberg-marquardt, etc.?
Which is the similar operation performed by the drop-out in neural network?
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
What are combination, activation, error, and objective functions?
What is a neural network and what are some advantages and disadvantages of such a network?
Who is concerned with nns?
What learning rate should be used for backprop?
What are the different layers in CNN?
what are some advantages and disadvantages of neural network?
Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
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
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