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What does entropic loss mean?
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.
What is common-mode failure?
Loss of function in multiple structures, systems, and components in the same manner.
What does RAS mean and what is its function?
seduction
What is the functions f mushrooms?
if you mean f(mushrooms) then use whatever function on the variable or variable mushrooms. if you mean the function mushrooms, then i have no idea as i would assume there is no standard function mushrooms.
The purpose and function of standard error of measurement?
the purpose and function of standard error of mean
What does entropic loss mean?
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.
What neuological diseases cause loss of motor function in arms and legs?
What would cause loss of motor function in upper thighs
What mean become?
Swelling is the inflammation of tissue due to internal or external damage. Characteristics are redness, pain, heat, and loss of function.
What do you mean by finance function?
Finance function is the function which determines and brings the future financial resources need for the company from different sources like banks and financial institutions such as profit and loss account balance sheet and trial balance
What does the medical abbreviation Lou mean?
LOU is an abbreviation for loss of use, which is actually a legal term. In medical charts, it may refer to loss of function of a body part, for example on a worker's compensation claim.
What does become swollen mean?
Swelling is the inflammation of tissue due to internal or external damage. Characteristics are redness, pain, heat, and loss of function.
What is a function of lamellar granules?
This granules...prevents water loss and energy loss. It is a water repellent.
Can rapid weight loss effect brain function?
no
Function of platlets?
to stop the loss of blood by clotting
What is clot and what is the function of clot?
Prevent blood loss
What is the major pathological feature of inflammation?
loss of function
How does the loss of elasticity affect the function of the lungs?
The loss of elasticity has a huge impact on the function of the lungs. If lungs cannot expand they cannot take in and expel air efficiently.
