| Package | Description |
|---|---|
| nuroko.algo | |
| nuroko.core | |
| nuroko.module | |
| nuroko.module.loss |
| Modifier and Type | Method and Description |
|---|---|
static void |
SimpleBackProp.train(IComponent comp,
mikera.vectorz.AVector input,
mikera.vectorz.AVector target,
double learnRate,
LossFunction loss) |
void |
MomentumBackProp.train(IComponent comp,
mikera.vectorz.AVector input,
mikera.vectorz.AVector target,
double learnRate,
LossFunction loss) |
| Modifier and Type | Method and Description |
|---|---|
static LossFunction |
Components.defaultLossFunction(mikera.vectorz.Op op)
Returns a default loss function for a specific operator
|
LossFunction |
IComponent.getDefaultLossFunction()
Returns the default loss function that should be used
|
| Modifier and Type | Method and Description |
|---|---|
void |
ITrainable.train(mikera.vectorz.AVector input,
mikera.vectorz.AVector target,
LossFunction loss,
double factor)
Trains towards a target value using a specified loss function.
|
| Modifier and Type | Method and Description |
|---|---|
LossFunction |
TrainingOp.getDefaultLossFunction() |
LossFunction |
ThinkingOp.getDefaultLossFunction() |
LossFunction |
Stack.getDefaultLossFunction() |
LossFunction |
Operator.getDefaultLossFunction() |
LossFunction |
NeuralNet.getDefaultLossFunction() |
LossFunction |
AComponent.getDefaultLossFunction() |
| Modifier and Type | Method and Description |
|---|---|
void |
AComponent.train(mikera.vectorz.AVector input,
mikera.vectorz.AVector target,
LossFunction loss,
double factor) |
| Modifier and Type | Class and Description |
|---|---|
class |
AbsoluteErrorLoss |
class |
CrossEntropyLoss |
class |
SquaredErrorLoss |
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