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hub / github.com/XLechter/PCAN / batch_norm_for_fc

Function batch_norm_for_fc

tf_util.py:534–545  ·  view source on GitHub ↗

Batch normalization on FC data. Args: inputs: Tensor, 2D BxC input is_training: boolean tf.Varialbe, true indicates training phase bn_decay: float or float tensor variable, controling moving average weight scope: string, variable scope Return: norm

(inputs, is_training, bn_decay, scope)

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Callers 1

fully_connectedFunction · 0.85

Calls 1

batch_norm_templateFunction · 0.85

Tested by

no test coverage detected