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View Code? Open in Web Editor NEWTensorFlow library to facilitate neural network experiments with an emphasis on enabling easy TensorBoard visualization and analysis.
License: MIT License
TensorFlow library to facilitate neural network experiments with an emphasis on enabling easy TensorBoard visualization and analysis.
License: MIT License
It would be great to use the layers from tf.layers but they reset the name scope before their components are created, which doesn't really make sense to me. For example,
with tf.name_scope(name):
preactivate = tf.layers.dense(
inputs,
units,
# TODO This doesn't work, how should the scope be set?
# scope=name
)
will not put this layer under the name
scope. Is this desired behaviour, a bug, or is there a way around this?
Should maybe ask this on StackOverflow.
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