The input Tensor.
A mean Tensor.
A variance Tensor.
Optional
offset: Tensor1D | TensorLike | Tensor<R>An offset Tensor.
Optional
scale: Tensor1D | TensorLike | Tensor<R>A scale Tensor.
Optional
varianceEpsilon: numberA small float number to avoid dividing by 0.
Batch normalization.
As described in http://arxiv.org/abs/1502.03167.
Mean, variance, scale, and offset can be of two shapes:
tf.Tensor1D
of shape [depth].Also available are stricter rank-specific methods with the same signature as this method that assert that parameters passed are of given rank
tf.batchNorm2d
tf.batchNorm3d
tf.batchNorm4d