Ahmed Ghazey

Hello all, Sigmoid Function or Logistic Function , it is used in Machine Learning problems for the purpose of learning (Neural network ) on curves. its range between ]0,1[ it is horizontal asymptotic on 0 and 1, because of its range between 0 and 1 it is used in classification using threshold for example if we take 0.5 as a threshold  values greater than 0.5 are considered Ones and  values less than or Equal  0.5 considered 0. it has the following formula :   and it shape as following : from wikipedia  so it accept differentiation over its domain unlike Step Function. differentiation of sigmoid function :  I finished the article , i hope you understand it . Thanks for your time and effort if you like it share and follow me :)