Switch to default tf.keras.layers.BatchNormalization #188
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As stated in the official tf documentation, now setting trainable=False will run the layer in inference mode, so when the layer is frozen it will use moving mean and moving variance instead of current batch mean and variance: https://www.tensorflow.org/api_docs/python/tf/keras/layers/BatchNormalization So, there is no need to use a custom BatchNormalization layer anymore.
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thats a great news |
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As stated in the official tf documentation, now setting trainable=False will run the BatchNormalization layer in inference mode, so when the layer is frozen it will use moving mean and moving variance instead of current batch mean and variance:
https://www.tensorflow.org/api_docs/python/tf/keras/layers/BatchNormalization
So, there is no need to use a custom BatchNormalization layer anymore.