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docs/modules/files.rst

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API - Load, Save Model and Data
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API - Files
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Load benchmark dataset, save and restore model, save and load variables.

docs/modules/layers.rst

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To make TensorLayer simple, we minimize the number of layer classes as much as
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we can. So we encourage you to use TensorFlow's function.
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For example, we provide layer for local response normalization, but we still suggest
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users to apply ``tf.nn.lrn`` on ``network.outputs``.
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For example, we provide layer for local response normalization, but user can still apply ``tf.nn.lrn`` on ``network.outputs``.
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More functions can be found in `TensorFlow API <https://www.tensorflow.org/versions/master/api_docs/index.html>`_.
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docs/modules/visualize.rst

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API - Visualize Model and Data
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API - Visualization
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TensorFlow provides `TensorBoard <https://www.tensorflow.org/get_started/summaries_and_tensorboard>`_

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