How many kinds of kohonen networks exist?
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What is backprop?
What can you do with an nn and what not?
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 learning rate should be used for backprop?
How are layers counted?
Explain neural networks?
What is simple artificial neuron?
What are neural networks? What are the types of neural networks?
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 the disadvantages of artificial neural networks?
Explain in detail Neural Networks?
Why use artificial neural networks? What are its advantages?
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