In machine learning, entropic loss is a specific kind of loss function. A loss function measures the error between the predicted results and the desired results. Entropic loss uses the logistic function to show the error (or "loss") between the true answer and the predicted answer.
A general loss function is defined here:
Lφ= ∫ (φ(z) - y)dz, where the bounds of the integral are φ-1(y) (on the bottom) and φ-1(yhat) (on the top). yhat is the estimated (predicted) result, and y is the desired result.
The entropic loss function is defined here:
Lφ= ∫ (1/(1 + exp(-z)) - y)dz
As you can see, the entropic loss is a specific instance of a loss function. All I've done is I've chosen my loss function φ(z) to be the logistic function.
The logistic function is a common choice because it is a convex function, and therefore has only one local minimum (therefore it is also the global minimum). When we try to minimize loss, we want only one minimum so that when we set the derivative to zero, we know we've found what we want.
it means loss of signal as distance increase July
It means that the lower back is too straight.
To compute for ROE if there is loss and negative equity, divide the company's net income by the stockholders' equity. A negative ROE does not necessarily mean bad news.
Indemnity is protection against a financial loss. An example would be when a person purchases an insurance policy to protect themselves from large financial losses due to sickness, accidents, or loss of material property.
The signs indicate the degree of ionisation resulting fro the loss or gain of an electron.
Jude the Entropic Man was created in 1978.
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Decomposition is an entropic change.
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Loss of bodily sensation with or without loss of consciousness.
credit balance in profit and loss a/c is loss
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TFL in football stats stands for TFL - Tackle For Loss.
For The Loss
A loss
Yes. Isentropic means "constant entropy." For all reversible processes, the change in entropy for the system and its environment is zero.
DOL, or Date of Loss, indicates the calender date of an accident or the date that the loss occurred.