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What can you do with an nn and what not?
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What can you do with an nn and what not?
Which is the similar operation performed by the drop-out in neural network?
What are conjugate gradients, levenberg-marquardt, etc.?
Explain Generative Adversarial Network.
What is a Neural Network?
How many kinds of nns exist?
List some commercial practical applications of artificial neural networks?
What is artificial intelligence neural networks?
Explain in detail Neural Networks?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
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
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
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