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Why use artificial neural networks? What are its advantages?
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What is the advantage of pooling layer in convolutional neural networks?
What are conjugate gradients, levenberg-marquardt, etc.?
What is the role of activation functions in a Neural Network?
Why use artificial neural networks? What are its advantages?
Describe the structure of artificial neural networks?
What are the different layers in CNN?
What is backprop?
What are artificial neural networks?
How many kinds of kohonen networks exist?
. Why are linearly separable problems of interest of neural network researchers? a) Because they are the only class of problem that network can solve successfully b) Because they are the only class of problem that Perceptron can solve successfully c) Because they are the only mathematical functions that are continue d) Because they are the only mathematical functions you can draw
How are artificial neural networks different from normal computers?
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
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