What are the population, sample, training set, design set, validation set, and test set?
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What is backprop?
What is a neural network and what are some advantages and disadvantages of such a network?
Explain in detail Neural Networks?
How neural networks became a universal function approximators?
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 are cases and variables?
What are the different layers in CNN?
How many kinds of kohonen networks exist?
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
How to avoid overflow in the logistic function?
What is the role of activation functions in a Neural Network?
What can you do with an nn and what not?
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