Understanding different Loss Functions for Neural Networks

Image by KotaFeja

The Loss Function is one of the important components of Neural Networks. Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Function.

In simple words, the Loss is used to calculate the gradients. And gradients are used to update the weights of the Neural Net. This is how a Neural Net is trained.

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Shiva Verma

Shiva Verma

Machine Learning Engineer | Available for consultancy | shivajbd@gmail.com