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Explain Generative Adversarial Network.
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How are weights initialized in a network?
What is backprop?
What are the population, sample, training set, design set, validation set, and test set?
What is a Neural Network?
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001
What can you do with an nn and what not?
How human brain works?
What is the advantage of pooling layer in convolutional neural networks?
Explain in detail Neural Networks?
Which is the similar operation performed by the drop-out in neural network?
What is the role of activation functions in a 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
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