What can you do with an nn and what not?
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What are neural networks and how do they relate to ai?
How artificial neurons learns?
Are neural networks helpful in medicine?
What are neural networks? What are the types of neural networks?
What are the population, sample, training set, design set, validation set, and test set?
Explain in detail Neural Networks?
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 batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Describe the structure of artificial neural networks?
What is the advantage of pooling layer in convolutional neural networks?
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
Explain Generative Adversarial Network.
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