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brain.js

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Neural networks in JavaScript

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import { Filter } from './filter'; import { IKernelFunctionThis, IKernelMapRunShortcut, ISubKernelObject, KernelOutput } from 'gpu.js'; import { IConvolutionSettingsBase, IConvolutionConstantsBase } from './convolution'; import { ILayer, ILayerSettings } from './base-layer'; export declare function setSwitchY(value: number): number; export declare function setSwitchX(value: number): number; export interface IPredictConstants extends IConvolutionConstantsBase { inputWidth: number; inputHeight: number; } export declare function predict(this: IKernelFunctionThis<IPredictConstants>, inputs: number[][][]): number; export interface ICompareConstants extends IConvolutionConstantsBase { inputWidth: number; inputHeight: number; outputWidth: number; outputHeight: number; } export declare function compare(this: IKernelFunctionThis<ICompareConstants>, deltas: number[][], switchX: number[][], switchY: number[][]): number; export declare function compare3D(this: IKernelFunctionThis<ICompareConstants>, deltas: number[][][], switchY: number[][][], switchX: number[][][]): number; export interface IPoolSettings extends ILayerSettings, IConvolutionSettingsBase { switchX?: KernelOutput; switchY?: KernelOutput; } export declare const defaults: IPoolSettings; export declare class Pool extends Filter { settings: Partial<IPoolSettings>; get strideX(): number; get strideY(): number; get paddingX(): number; get paddingY(): number; get width(): number; get height(): number; get depth(): number; get filterCount(): number; get switchX(): KernelOutput; set switchX(switchX: KernelOutput); get switchY(): KernelOutput; set switchY(switchY: KernelOutput); predictKernelMap: IKernelMapRunShortcut<ISubKernelObject> | null; constructor(settings: IPoolSettings, inputLayer: ILayer); setupKernels(): void; predict(): void; compare(): void; } export declare function pool(settings: IPoolSettings, inputLayer: ILayer): Pool; //# sourceMappingURL=pool.d.ts.map