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How are nns related to statistical methods?
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An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
What are the population, sample, training set, design set, validation set, and test set?
How does an LSTM network work?
How artificial neurons learns?
Which is the similar operation performed by the drop-out in neural network?
What are conjugate gradients, levenberg-marquardt, etc.?
What is the advantage of pooling layer in convolutional neural networks?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Why use artificial neural networks? What are its advantages?
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What are neural networks? What are the types of neural networks?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
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