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loss functions

A collection of 2 posts

Machine Learning (ML)

Importance of Loss Function in Machine Learning

A loss function is a measure of how good your prediction model does in terms of being able to predict the expected outcome(or value).

Aditya Rakhecha Aditya Rakhecha
Machine Learning (ML)

Types of Loss Functions in Machine Learning

The various types of loss functions are mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, mean_squared_logarithmic_error, squared_hinge, hinge, categorical_hinge, logcosh, categorical_crossentropy, sparse categorical / binary crossentropy, kullback_leibler_divergence and other

Priyanshu Shekhar Sinha Priyanshu Shekhar Sinha
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