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catbrain

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GPU accelerated neural networks made simple for Javascript

github.com/nguyenphuminh/catbrain

nguyenphuminh/catbrain

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export declare class Activation { static sigmoid(x: number, reluClip?: number, leakyReluAlpha?: number): number; static sigmoidDerivative(x: number, reluClip?: number, leakyReluAlpha?: number): number; static tanh(x: number, reluClip?: number, leakyReluAlpha?: number): number; static tanhDerivative(x: number, reluClip?: number, leakyReluAlpha?: number): number; static relu(x: number, reluClip: number, leakyReluAlpha?: number): number; static reluDerivative(x: number, reluClip: number, leakyReluAlpha?: number): number; static leakyRelu(x: number, reluClip: number, leakyReluAlpha: number): number; static leakyReluDerivative(x: number, reluClip: number, leakyReluAlpha: number): number; static swish(x: number, reluClip: number, leakyReluAlpha?: number): number; static swishDerivative(x: number, reluClip: number, leakyReluAlpha?: number): number; static softplus(x: number, reluClip: number, leakyReluAlpha?: number): number; static softplusDerivative(x: number, reluClip: number, leakyReluAlpha?: number): number; static mish(x: number, reluClip: number, leakyReluAlpha?: number): number; static mishDerivative(x: number, reluClip: number, leakyReluAlpha?: number): number; static linear(x: number, reluClip?: number, leakyReluAlpha?: number): number; static linearDerivative(x?: number, reluClip?: number, leakyReluAlpha?: number): number; }