Answer / clara

a

What is the advantage of pooling layer in convolutional neural networks?

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What learning rate should be used for backprop?

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How are weights initialized in a network?

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What are artificial neural networks?

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How many kinds of nns exist?

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What is the difference between a Feedforward Neural Network and Recurrent Neural Network?

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What is simple artificial neuron?

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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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 Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

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What are the population, sample, training set, design set, validation set, and test set?

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 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

1 Answers   HCL,

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How to avoid overflow in the logistic function?

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