Searched refs:Nadam (Results 1 – 16 of 16) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | nadam_test.py | 97 opt = nadam.Nadam(epsilon=sparse_epsilon)
138 opt = nadam.Nadam()
161 opt = nadam.Nadam(lr=1.0)
162 opt_2 = nadam.Nadam(learning_rate=0.1, lr=1.0)
163 opt_3 = nadam.Nadam(learning_rate=0.1)
174 opt = nadam.Nadam(schedule_decay=0.2)
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| D | nadam.py | 34 class Nadam(optimizer_v2.OptimizerV2): class
82 super(Nadam, self).__init__(name, **kwargs)
148 return super(Nadam, self)._prepare(var_list)
214 config = super(Nadam, self).get_config()
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| D | optimizer_v2_test.py | 772 opt_v1 = optimizer_v1.Nadam(lr=0.001)
773 opt_v2 = nadam.Nadam(learning_rate=0.001)
1168 ('Nadam', nadam.Nadam, None),
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.optimizers.-nadam.pbtxt | 1 path: "tensorflow.keras.optimizers.Nadam"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.nadam.Nadam\'>"
29 …], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-07\', \'Nadam\'], "
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| D | tensorflow.optimizers.-nadam.pbtxt | 1 path: "tensorflow.optimizers.Nadam"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.nadam.Nadam\'>"
29 …], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-07\', \'Nadam\'], "
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| D | tensorflow.optimizers.pbtxt | 24 name: "Nadam"
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| D | tensorflow.keras.optimizers.pbtxt | 24 name: "Nadam"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.optimizers.-nadam.pbtxt | 1 path: "tensorflow.keras.optimizers.Nadam"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.nadam.Nadam\'>"
29 …], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-07\', \'Nadam\'], "
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| D | tensorflow.keras.optimizers.pbtxt | 24 name: "Nadam"
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| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 69 'nadam': nadam_v2.Nadam,
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| D | optimizer_v1.py | 650 class Nadam(Optimizer): class
673 super(Nadam, self).__init__(**kwargs)
744 base_config = super(Nadam, self).get_config()
839 nadam = Nadam
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| D | optimizers_test.py | 153 self._test_optimizer(optimizer_v1.Nadam())
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| D | testing_utils.py | 887 'nadam': nadam_v2.Nadam,
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | optimizer_combinations.py | 64 "NadamKerasV2", lambda: nadam_keras_v2.Nadam(0.001, epsilon=1.0))
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| /external/tensorflow/tensorflow/python/keras/mixed_precision/ |
| D | autocast_variable_test.py | 536 nadam.Nadam,
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| /external/tensorflow/ |
| D | RELEASE.md | 470 `Nadam.apply_gradients` outside a `tf.function` does not work and will raise
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