Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
NeuralNetwork.getOptimizer()
This method returns Optimizer used for training
|
ConvexOptimizer |
Model.getOptimizer()
Returns this models optimizer
|
Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
ComputationGraph.getOptimizer() |
Modifier and Type | Field and Description |
---|---|
protected ConvexOptimizer |
BaseLayer.optimizer |
Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
FrozenLayer.getOptimizer() |
ConvexOptimizer |
AbstractLayer.getOptimizer() |
ConvexOptimizer |
BaseLayer.getOptimizer() |
Modifier and Type | Field and Description |
---|---|
protected ConvexOptimizer |
VariationalAutoencoder.optimizer |
Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
VariationalAutoencoder.getOptimizer() |
Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
MultiLayerNetwork.getOptimizer() |
Modifier and Type | Method and Description |
---|---|
ConvexOptimizer |
Solver.getOptimizer() |
Modifier and Type | Class and Description |
---|---|
class |
BaseOptimizer
Base optimizer
|
class |
ConjugateGradient
Originally based on cc.mallet.optimize.ConjugateGradient
Rewritten based on Conjugate Gradient algorithm in Bengio et al.,
Deep Learning (in preparation) Ch8.
|
class |
LBFGS
LBFGS
|
class |
LineGradientDescent
Stochastic Gradient Descent with Line Search
|
class |
StochasticGradientDescent
Stochastic Gradient Descent
Standard fix step size
No line search
|
Modifier and Type | Method and Description |
---|---|
static StepFunction |
BaseOptimizer.getDefaultStepFunctionForOptimizer(Class<? extends ConvexOptimizer> optimizerClass) |
Constructor and Description |
---|
BackTrackLineSearch(Model optimizable,
ConvexOptimizer optimizer) |
BackTrackLineSearch(Model layer,
StepFunction stepFunction,
ConvexOptimizer optimizer) |
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