Different deep learning networks can be used in classifications. What about prediction problem? which deep learning network can be used? and what is its architecture?
Hello,
You are probably referring to the use of deep learning neural networks for regression analysis. Both classification and regression are prediction problems. In classification you predict the label whereas in regression you predict a value. Following tutorials will clarify everything for you hopefully:
1) https://towardsdatascience.com/deep-neural-networks-for-regression-problems-81321897ca33
2) https://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/
Dear Mohammad,
I agree with Utkarsh Singh 's comment. The only difference is the cost function at the end. There are build-in cost functions for regression in most deep learning framework (e.g., Torch).
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