Due to their great performance in many challenges, Deep Learning (DL) techniques keep gaining popularity in many fields. They have been adapted to process graph data structures to solve various ...

Murilo Gustineli's study, "A survey on recently proposed activation functions for Deep Learning," highlights that while Sigmoid, Tanh, ReLU, and its variants are commonly used, recent developments ...

Using Triple-Sigmoid in the last activation layer of any deep neural network model enables the model to recognize outliers. Although Triple-Sigmoid can be applied to a variety of machine learning ...

There are various activation functions and research is still going on to identify the optimum function for a specific model. Once you know the logic of the model, you can decide which activation to ...