brain.js
Version:
Neural networks in JavaScript
46 lines • 2.1 kB
TypeScript
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