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hub / github.com/XLechter/PCAN / batch_norm_for_conv3d

Function batch_norm_for_conv3d

tf_util.py:580–591  ·  view source on GitHub ↗

Batch normalization on 3D convolutional maps. Args: inputs: Tensor, 5D BDHWC input maps is_training: boolean tf.Varialbe, true indicates training phase bn_decay: float or float tensor variable, controling moving average weight scope: string, variable scope

(inputs, is_training, bn_decay, scope)

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Callers 1

conv3dFunction · 0.85

Calls 1

batch_norm_templateFunction · 0.85

Tested by

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