BatchNorm2DLayer | /src/core/api/layers.ts | netsaur@0.2.12

Module

x/netsaur/src/core/api/layers.ts>BatchNorm2DLayer

Powerful machine learning, accelerated by WebGPU

denosaurs/netsaur

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error.ts

ActivationError

IncompatibleRankError

ActivationLayerConfig

BatchNormLayerConfig

Conv2DLayerConfig

ConvTranspose2DLayerConfig

OneCycleSchedulerConfig

function BatchNorm2DLayer

import { BatchNorm2DLayer } from "https://deno.land/x/netsaur@0.2.12/src/core/api/layers.ts";

BatchNorm2DLayer(config?: BatchNormLayerConfig): Layer

Creates a BatchNorm2D layer. BatchNorm2D layers normalize the input. They are usually used to improve the speed, performance, and stability of neural networks. See https://en.wikipedia.org/wiki/Batch_normalization

Parameters

optional

config: BatchNormLayerConfig = [UNSUPPORTED]

Returns

Layer