Class OptimizerRMSProp

Hierarchy

AbstractOptimizer
- OptimizerRMSProp

Index

Constructors

constructor

Properties

Methods

Constructors

constructor

new OptimizerRMSProp(): OptimizerRMSProp

Inherited from AbstractOptimizer.constructor
Returns OptimizerRMSProp

Properties

Protected alpha

alpha: number = 1e-3

Protected batchSize

batchSize: number = 0

Protected beta

beta: number = 0.9

Protected learningRate

learningRate: number = 0

Protected t

t: number = 0

Methods

optimize

optimize(layer: Layers): void

Overrides AbstractOptimizer.optimize
- Defined in Trainer/Optimizer/OptimizerRMSProp.ts:18
Parameters
- layer: Layers
Returns void

rmsprop

rmsprop(layer: Layers, learningRate: number, alpha: number, beta: number): void

- Defined in Trainer/Optimizer/OptimizerRMSProp.ts:22
Parameters
- layer: Layers
- learningRate: number
- alpha: number
- beta: number
Returns void

setAlpha

setAlpha(alpha: number): OptimizerRMSProp

- Defined in Trainer/Optimizer/OptimizerRMSProp.ts:13
Parameters
- alpha: number
Returns OptimizerRMSProp

setBatchSize

setBatchSize(batchSize: number): AbstractOptimizer

Inherited from AbstractOptimizer.setBatchSize
- Defined in Trainer/Optimizer/AbstractOptimizer.ts:8
Parameters
- batchSize: number
Returns AbstractOptimizer

setBeta

setBeta(beta: number): OptimizerRMSProp

- Defined in Trainer/Optimizer/OptimizerRMSProp.ts:8
Parameters
- beta: number
Returns OptimizerRMSProp

setLearningRate

setLearningRate(learningRate: number): AbstractOptimizer

Inherited from AbstractOptimizer.setLearningRate
- Defined in Trainer/Optimizer/AbstractOptimizer.ts:18
Parameters
- learningRate: number
Returns AbstractOptimizer

setT

setT(t: number): AbstractOptimizer

Inherited from AbstractOptimizer.setT
- Defined in Trainer/Optimizer/AbstractOptimizer.ts:13
Parameters
- t: number
Returns AbstractOptimizer

Generated using TypeDoc