Class OptimizerAdam

Hierarchy

AbstractOptimizer
- OptimizerAdam

Index

Constructors

constructor

Properties

Methods

Constructors

constructor

new OptimizerAdam(): OptimizerAdam

Inherited from AbstractOptimizer.constructor
Returns OptimizerAdam

Properties

Protected batchSize

batchSize: number = 0

Protected beta1

beta1: number = 0.9

Protected beta2

beta2: number = 0.999

Protected learningRate

learningRate: number = 0

Protected t

t: number = 0

Methods

adam

adam(layer: Layers, learningRate: number, t: number): void

- Defined in Trainer/Optimizer/OptimizerAdam.ts:24
Parameters
- layer: Layers
- learningRate: number
- t: number
Returns void

optimize

optimize(layer: Layers): void

Overrides AbstractOptimizer.optimize
- Defined in Trainer/Optimizer/OptimizerAdam.ts:20
Parameters
- layer: Layers
Returns void

setBatchSize

setBatchSize(batchSize: number): AbstractOptimizer

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

setBeta1

setBeta1(beta1: number): OptimizerAdam

- Defined in Trainer/Optimizer/OptimizerAdam.ts:10
Parameters
- beta1: number
Returns OptimizerAdam

setBeta2

setBeta2(beta2: number): OptimizerAdam

- Defined in Trainer/Optimizer/OptimizerAdam.ts:15
Parameters
- beta2: number
Returns OptimizerAdam

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

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