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What are the population, sample, training set, design set, validation set, and test set?
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What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
How many kinds of nns exist?
What is a neural network and what are some advantages and disadvantages of such a network?
How neural networks became a universal function approximators?
How are nns related to statistical methods?
How does an LSTM network work?
How does ill-conditioning affect nn training?
Explain neural networks?
What are conjugate gradients, levenberg-marquardt, etc.?
What are the different layers in CNN?
What learning rate should be used for backprop?
How are layers counted?
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