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What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
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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
How does an LSTM network work?
Explain in detail Neural Networks?
What are the population, sample, training set, design set, validation set, and test set?
How artificial neurons learns?
How neural networks became a universal function approximators?
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
How are artificial neural networks different from normal computers?
What are combination, activation, error, and objective functions?
What is a Neural Network?
What is a neural network and what are some advantages and disadvantages of such a network?
What learning rate should be used for backprop?
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