What are the pros and cons of neural network?
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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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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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