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well welcome to our discussion of different types of activation functions and today we are going to look at binary cross-entropy so lets begin and Ill give this to mohamed mohamed take us away here sure so basically we have the same setup we have the input/output they have the activation function Sigma and we have a desired output so the same basic setup you have a B now we didnt have B before yeah actually thats an easy extension now they also have the bonus this term which will be added by WX and we have the same minimum error square error yes see how it works if you use a mean square error to minimize this the distance from this desired output with the promoted output yeah and Sigma is our standard sigmoid function that weve looked at earlier so lets run this wrestle see what happens to the cost as we do gradient descent Holy Smoke look at that output desired to zero and it goes point zero nine well thats pretty good what would you like to do next I think youre very lucky si
