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What is a neural network and what are some advantages and disadvantages of such a network?
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Explain Generative Adversarial Network.
How does an LSTM network work?
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?
. 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 simple artificial neuron?
Which is the similar operation performed by the drop-out in neural network?
How are weights initialized in a network?
What are the applications of a Recurrent Neural Network (RNN)?
What are the different layers in CNN?
What are cases and variables?
Are neural networks helpful in medicine?
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