brain.js
Version:
Neural networks in JavaScript
24 lines • 1.08 kB
TypeScript
import { ILayer, ILayerJSON, ILayerSettings } from './base-layer';
import { IKernelRunShortcut, Input, KernelOutput } from 'gpu.js';
import { IPraxis } from '../praxis/base-praxis';
export declare type InternalType = new (settings: Partial<ILayerSettings>) => ILayer;
export declare abstract class Internal implements ILayer {
abstract settings: ILayerSettings;
abstract predict(inputs?: KernelOutput): void;
abstract compare(targetValues?: KernelOutput): void;
abstract learn(learningRate?: number): void;
abstract setupKernels(training?: boolean): void;
predictKernel: IKernelRunShortcut | null;
compareKernel: IKernelRunShortcut | null;
praxis: IPraxis | null;
get width(): number;
get height(): number;
get depth(): number;
get weights(): KernelOutput | Input;
set weights(weights: KernelOutput | Input);
get deltas(): KernelOutput;
set deltas(deltas: KernelOutput);
toJSON(): Partial<ILayerJSON>;
abstract reuseKernels(layer: ILayer): void;
}
//# sourceMappingURL=internal.d.ts.map