How to use tf.nn.fused_batch_norm
I need simple examples with which I can learn how to use tf.nn.fused_batch_norm
. (I couldn't find any of the google searches.)
In particular, I want to understand exactly the input parts mean=None, variance=None
to a function. In the inference step , I calculate the mean and variance of the population, say tf.nn.moments, and then put them into a function with these input arguments?
And I use this feature just like any other activations like ReLU etc.
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julypraise
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