title: ML Notes

ML Notes

Typical training parameters for different problem types

Problem type Loss function Metrics Final Activation Function
Binary classification binary_crossentropy accuracy sigmoid
Multiclass classification categorical_crossentropy accuracy softmax
Scalar regression mse mae None

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