Dear Mala
these link will help you ...
https://towardsdatascience.com/activation-functions-neural-networks-1cbd9f8d91d6
https://towardsdatascience.com/multi-layer-neural-networks-with-sigmoid-function-deep-learning-for-rookies-2-bf464f09eb7f
https://www.quora.com/What-is-the-sigmoid-function-and-what-is-its-use-in-machine-learnings-neural-networks-How-about-the-sigmoid-derivative-function
regards
Sigmoid function generates binary or bipolar output based on the output greater than or less than the threshold value
Sigmoid function deals binary classification and softmax deals more than two classes.
So, when you want to predict a non-linear relationship, will sigmoid provide me with what I need?
Sigmoid fuction is generally used to limit the value in 0 and 1 i.e, binary output( comparing with thresold value) or even can generate bipolar output using a bias. In a neural network, often sigmoid function is used between last hidden layer and output layer for binary classification.
Dear Mala Babagana Gutti
Sigmoid function used for the prediction of non linear data. so that the output always be depend on threshold values.
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