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Neural Networks are complex ______________ with many parameters.
a) Linear Functions
b) Nonlinear Functions
c) Discrete Functions
d) Exponential Functions
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What is Pooling in CNN and how does it work?
How to avoid overflow in the logistic function?
Which is the similar operation performed by the drop-out in neural network?
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What are the disadvantages of artificial neural networks?
What are the applications of a Recurrent Neural Network (RNN)?
How artificial neural networks can be applied in future?
What can you do with an nn and what not?
Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned
What is the advantage of pooling layer in convolutional neural networks?
What are the population, sample, training set, design set, validation set, and test set?
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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