objective function or criterion - the function we want to optimize (either: minimize or maximize)
- cost function or loss function or error function:
- an objective function we want to MINIMIZE
- is evaluated against a SINGLE training example:
- 𝑙(𝜃|𝑥𝑖,𝑦𝑖)
- expected cost or expected loss or expected error:
- is evaluated against the ENTIRE training set 𝒟:
- 𝐿(𝜃|𝒟) = 𝐄(𝑥,𝑦)~𝒟[𝑙(𝜃|𝑥,𝑦)]
- is evaluated against the ENTIRE training set 𝒟:
Example Functions
see: Analysis