Activation function for output layer for regression models in Neural Networks

Question

I have been experimenting with neural networks these days. I have come across a general question regarding the activation function to use. This might be a well known fact to

Answer 1

for linear regression type of problem, you can simply create the Output layer without any activation function as we are interested in numerical values without any transformation.

more info :

https://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/

for classification : You can use sigmoid, tanh, Softmax etc.