Computer Science, asked by sharmapushkar800, 6 months ago

What are the pros and cons of neural network?


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Answers

Answered by Anonymous
1

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  • Neural networks are flexible and can be used for both regression and classification problems. ...
  • Neural networks are good to model with nonlinear data with large number of inputs; for example, images. ...
  • Once trained, the predictions are pretty fast.
  • Neural networks can be trained with any number of inputs and layers.

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Answered by him2872
0

Explanation:

Pros and cons of neural networks

Neural networks are flexible and can be used for both regression and classification problems. ...

Neural networks are good to model with nonlinear data with large number of inputs; for example, images. ...

Once trained, the predictions are pretty fast.

Neural networks can be trained with any number of inputs and layers.

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