Classification Loss Functions: Intuition and Applications

A simpler way to understand derivations of loss functions for classification and when/how to apply them in PyTorch

Whether you are new to exploring neural networks or a seasoned pro, this should be a beneficial read to gain more intuition about loss functions. As someone testing many different loss functions during model training, I would get tripped up on small details between functions. I spent hours researching an intuitive depiction of loss functions from textbooks, research papers, …

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