Blog: Explain Cross Entropy Loss For Classification Loss

I have recently worked on Computer Vision projects for classification tasks. Papers and tutorials mention Cross Entropy as the mostly used loss function to measure the difference between predictions and labels. Now, the question is what, how, and why we use Cross Entropy?

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References

• Basic Classification: Classify Images of clothing https://www.tensorflow.org/tutorials/keras/classification
• Softmax function, Wikipedia, https://en.wikipedia.org/wiki/Softmax_function
• Cross Entropy for Machine Learning, https://machinelearningmastery.com/cross-entropy-for-machine-learning/
• Cross Entropy, https://en.wikipedia.org/wiki/Cross_entropy