Explain neural networks?

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What are combination, activation, error, and objective functions?

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A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123

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How to avoid overflow in the logistic function?

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List some commercial practical applications of artificial neural networks?

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What can you do with an nn and what not?

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How does ill-conditioning affect nn training?

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Explain in detail Neural Networks?

4 Answers   TCS,

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The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

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The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

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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

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What are the applications of a Recurrent Neural Network (RNN)?

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