Stimulating Neurons with another Activation Function

Artificial Intelligence, Machine Learning and Deep Learning have become one of the most popular and useful areas in the current era of computer science. Many tasks seemed impossible in the past with the computers are not easily attained with the help of deep learning models. Each deep learning models relies on a set of layers which produces output based on associated activation function. This paper discusses various existing activation function along with new suggested activation function which is producing considerable accuracy for binary classification using CNN with variety of datasets such as EEG signal classification, popular MNIST digit recogniser and flower classification. The activation function proposed in this paper is different than all the existing ones and still manages to perform much better than all the existing activation functions.