forked from TensorLayer/tensorlayer3
26 lines
1.1 KiB
Python
26 lines
1.1 KiB
Python
#! /usr/bin/python
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# -*- coding: utf-8 -*-
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"""
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TensorLayer provides rich layer implementations trailed for
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various benchmarks and domain-specific problems. In addition, we also
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support transparent access to native TensorFlow parameters.
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For example, we provide not only layers for local response normalization, but also
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layers that allow user to apply ``tf.ops.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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"""
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from .amsgrad import AMSGrad
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# ['Adadelta', 'Adagrad', 'Adam', 'Adamax', 'Ftrl', 'Nadam', 'RMSprop', 'SGD', 'Momentum', 'Lamb', 'LARS']
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from .load_optimizers_backend import Adadelta
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from .load_optimizers_backend import Adagrad
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from .load_optimizers_backend import Adam
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from .load_optimizers_backend import Adamax
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from .load_optimizers_backend import Ftrl
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from .load_optimizers_backend import Nadam
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from .load_optimizers_backend import RMSprop
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from .load_optimizers_backend import SGD
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from .load_optimizers_backend import Momentum
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from .load_optimizers_backend import Lamb
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from .load_optimizers_backend import LARS
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