What is Binary Cross Entropy?
We have learned about the multiclass classification which is when there are more than two classes for which we are predicting probabilities. And hence as the name suggests it is a special case of the multiclass classification when the number of classes is only two so, there is a need to predict only probability for one class and the other one will be 1 – probability predicted.
We can modify the formula for the binary cross entropy as well.
Cross-Entropy Cost Functions used in Classification
Cost functions play a crucial role in improving a Machine Learning model’s performance by being an integrated part of the gradient descent algorithm which helps us optimize the weights of a particular model. In this article, we will learn about one such cost function which is the cross-entropy function which is generally used for classification problems.
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