MCPcopy Create free account
hub / github.com/alibaba/nann / batch_normalization

Function batch_normalization

tensorflow/tensorflow/python/keras/backend.py:2501–2556  ·  view source on GitHub ↗

Applies batch normalization on x given mean, var, beta and gamma. I.e. returns: `output = (x - mean) / (sqrt(var) + epsilon) * gamma + beta` Arguments: x: Input tensor or variable. mean: Mean of batch. var: Variance of batch. beta: Tensor with which to center the inpu

(x, mean, var, beta, gamma, axis=-1, epsilon=1e-3)

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers

nothing calls this directly

Calls 5

ndimFunction · 0.85
_has_nchw_supportFunction · 0.85
reshapeMethod · 0.80
zeros_likeFunction · 0.70
ones_likeFunction · 0.70

Tested by

no test coverage detected