Learning Cost Function

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A Learning Cost Function is a cost function that is used by a learning task.



References

2014


QUOTE
Suppose we have a fixed training set [math]\displaystyle{ \{ (x^{(1)}, y^{(1)}), \ldots, (x^{(m)}, y^{(m)}) \} }[/math] of [math]\displaystyle{ m }[/math] training examples. We can train our neural network using batch gradient descent. In detail, for a single training example [math]\displaystyle{ (x,y) }[/math], we define the cost function with respect to that single example to be …

2011

2009

  • en.wiktionary.org/wiki/loss_function
    • In statistics, decision theory and economics, a loss function is a function that maps an event (technically an element of a sample space) onto a ...


  • http://clopinet.com/isabelle/Projects/ETH/Exam_Questions.html
    • loss function: A loss function is a function measuring the discrepancy between a predicted output f(x) and the desired outcome y: L(f(x), y). The risk is the average of L over many examples. Examples of loss functions include the square loss often used in regression (y-f(x))2 and the 0/1 loss used in classification, which is 1 in case of error and 0 otherwise.