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What are the disadvantages of artificial neural networks?
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An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
How artificial neurons learns?
How are layers counted?
. 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
What is Pooling in CNN and how does it work?
How does ill-conditioning affect nn training?
What is simple artificial neuron?
What is the role of activation functions in a Neural Network?
Which is the similar operation performed by the drop-out in neural network?
How to avoid overflow in the logistic function?
How are weights initialized in a network?
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