Loss class
Loss function class
Compute mean error of a (mini)batch
Loss functions constructors
Loss.mae() /// `Mean Absolute Error`
Loss.mse() /// `Mean Square Error`
Loss.crossEntropy() /// `Cross Entropy`
Loss.sparseCrossEntropy() /// `Sparse Cross Entropy`
Constructors
- Loss.crossEntropy()
- Cross Entropy loss function for batch
- Loss.mae()
- Mean Absolute Error loss function for batch
- Loss.mse()
- Mean Square Error loss function for batch
- Loss.sparseCrossEntropy()
- Sparse Cross Entropy loss function for batch
Properties
- dfunction ↔ Matrix Function(Matrix, Matrix, [dynamic parameter])
-
The derivative of loss function
getter/setter pair
- function ↔ double Function(Matrix, Matrix, [dynamic parameter])
-
The loss function
getter/setter pair
- hashCode → int
-
The hash code for this object.
no setterinherited
- name ↔ String
-
The name of the loss function
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited