Difference Between Loss and Cost Function in Deep Learning

Marko KovacevicPosted by

Loss function

The Loss function computes the error for a single training example.

Cost function

The Cost function is the average of the Loss functions of the entire training set.

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References

  1. Coursera. 2020. Logistic Regression Cost Function – Neural Networks Basics | Coursera. [online] Available at: <https://www.coursera.org/learn/neural-networks-deep-learning/lecture/yWaRd/logistic-regression-cost-function> [Accessed 11 May 2020].

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