What learning rate should be used for backprop?

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

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What is simple artificial neuron?

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A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say

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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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 Neuro software is: a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon

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What is a Neural Network?

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Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

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What is a neural network and what are some advantages and disadvantages of such a network?

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

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How neural networks became a universal function approximators?

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List some commercial practical applications of artificial neural networks?

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