convolutionalneuralnetwork.md

ReImproveJS > ConvolutionalNeuralNetwork

Class: ConvolutionalNeuralNetwork

Hierarchy

NeuralNetwork

↳ ConvolutionalNeuralNetwork

Index

Constructors

• constructor

Properties

• convolutionalLayers
• flattenLayer
• inputShape

Accessors

• FlattenLayer
• InputShape

Methods

• addConvolutionalLayer
• addConvolutionalLayers
• addMaxPooling2DLayer
• addNeuralNetworkLayer
• addNeuralNetworkLayers
• createLayers
• getLayers

Object literals

• DEFAULT_CONV_LAYER
• DEFAULT_POOLING_LAYER

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Constructors

constructor

⊕ new ConvolutionalNeuralNetwork(): ConvolutionalNeuralNetwork

Overrides NeuralNetwork.constructor

Defined in reimprove/networks.ts:117

Returns: ConvolutionalNeuralNetwork

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Properties

<Private> convolutionalLayers

● convolutionalLayers: ConvolutionalNetworkLayer[]

Defined in reimprove/networks.ts:103

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<Private> flattenLayer

● flattenLayer: FlattenLayer

Defined in reimprove/networks.ts:104

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<Protected> inputShape

● inputShape: number[]

Inherited from NeuralNetwork.inputShape

Defined in reimprove/networks.ts:55

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Accessors

FlattenLayer

setFlattenLayer(layer: FlattenLayer): void

Defined in reimprove/networks.ts:158

Parameters:

Param	Type
layer	FlattenLayer

Returns: void

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InputShape

setInputShape(shape: number[]): void

Inherited from NeuralNetwork.InputShape

Defined in reimprove/networks.ts:85

Parameters:

Param	Type
shape	number[]

Returns: void

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Methods

addConvolutionalLayer

▸ addConvolutionalLayer(layer: * number | ConvolutionalNetworkLayer*): void

Defined in reimprove/networks.ts:129

Parameters:

Param	Type
layer	number | ConvolutionalNetworkLayer

Returns: void

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addConvolutionalLayers

▸ addConvolutionalLayers(layers: Array< number | ConvolutionalNetworkLayer>): void

Defined in reimprove/networks.ts:142

Parameters:

Param	Type
layers	Array< number | ConvolutionalNetworkLayer>

Returns: void

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addMaxPooling2DLayer

▸ addMaxPooling2DLayer(layer?: MaxPooling2DLayer): void

Defined in reimprove/networks.ts:125

Parameters:

Param	Type
Optional layer	MaxPooling2DLayer

Returns: void

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addNeuralNetworkLayer

▸ addNeuralNetworkLayer(layer: * number | NeuralNetworkLayer*): void

Inherited from NeuralNetwork.addNeuralNetworkLayer

Defined in reimprove/networks.ts:69

Parameters:

Param	Type
layer	number | NeuralNetworkLayer

Returns: void

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addNeuralNetworkLayers

▸ addNeuralNetworkLayers(layers: Array< number | NeuralNetworkLayer>): void

Inherited from NeuralNetwork.addNeuralNetworkLayers

Defined in reimprove/networks.ts:81

Parameters:

Param	Type
layers	Array< number | NeuralNetworkLayer>

Returns: void

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createLayers

▸ createLayers(includeInputShape?: boolean): Array<any>

Overrides NeuralNetwork.createLayers

Defined in reimprove/networks.ts:146

Parameters:

Param	Type	Default value
Default value includeInputShape	boolean	true

Returns: Array<any>

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getLayers

▸ getLayers(): Layer[]

Overrides NeuralNetwork.getLayers

Defined in reimprove/networks.ts:162

Returns: Layer[]

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Object literals

<Static>``<Private> DEFAULT_CONV_LAYER

DEFAULT_CONV_LAYER: object

Defined in reimprove/networks.ts:106

activation

● activation: string = "relu"

Defined in reimprove/networks.ts:109

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filters

● filters: number = 32

Defined in reimprove/networks.ts:107

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kernelSize

● kernelSize: number = 3

Defined in reimprove/networks.ts:108

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type

● type: "convolutional" = "convolutional"

Defined in reimprove/networks.ts:110

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<Static>``<Private> DEFAULT_POOLING_LAYER

DEFAULT_POOLING_LAYER: object

Defined in reimprove/networks.ts:113

poolSize

● poolSize: number = 2

Defined in reimprove/networks.ts:114

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strides

● strides: null = null

Defined in reimprove/networks.ts:115

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type

● type: "maxpooling" = "maxpooling"

Defined in reimprove/networks.ts:116

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