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How does an LSTM network work?


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More AI Neural Networks Interview Questions

What are neural networks? What are the types of neural networks?

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Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

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What are the different layers in CNN?

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What is Pooling in CNN and how does it work?

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What are cases and variables?

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How artificial neurons learns?

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

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Which is the similar operation performed by the drop-out in neural network?

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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

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How artificial neural networks can be applied in future?

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What are neural networks and how do they relate to ai?

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Describe the structure of artificial neural networks?

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