Function batchNorm2d

batchNorm2d(x, mean, variance, offset?, scale?, varianceEpsilon?): Tensor2D
Batch normalization, strictly for 2D. For the more relaxed version, see tf.batchNorm.
Parameters
- x: TensorLike | Tensor2D
  The input Tensor.
- mean: TensorLike | Tensor1D | Tensor2D
  A mean Tensor.
- variance: TensorLike | Tensor1D | Tensor2D
  A variance Tensor.
- Optional offset: TensorLike | Tensor1D | Tensor2D
  An offset Tensor.
- Optional scale: TensorLike | Tensor1D | Tensor2D
  A scale Tensor.
- Optional varianceEpsilon: number
  A small float number to avoid dividing by 0.
Returns Tensor2D
- Defined in src/node_modules/@tensorflow/tfjs-node-gpu/node_modules/@tensorflow/tfjs-core/dist/ops/batchnorm2d.d.ts:31

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