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How human brain works?
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What are the applications of a Recurrent Neural Network (RNN)?
How to avoid overflow in the logistic function?
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
How neural networks became a universal function approximators?
What is backprop?
How are nns related to statistical methods?
What are neural networks? What are the types of neural networks?
How artificial neurons learns?
How are artificial neural networks different from normal computers?
What is the advantage of pooling layer in convolutional neural networks?
Which is the similar operation performed by the drop-out in neural network?
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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