| /external/tensorflow/tensorflow/python/training/ |
| D | learning_rate_decay.py | 29 def exponential_decay(learning_rate, argument
159 def polynomial_decay(learning_rate, argument
259 def natural_exp_decay(learning_rate, argument
343 def inverse_time_decay(learning_rate, argument
429 def cosine_decay(learning_rate, global_step, decay_steps, alpha=0.0, name=None): argument
488 def cosine_decay_restarts(learning_rate, argument
561 def linear_cosine_decay(learning_rate, argument
643 def noisy_linear_cosine_decay(learning_rate, argument
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| D | adagrad_test.py | 53 learning_rate = lambda: 3.0 function
326 learning_rate = lambda: 3.0 function
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| D | gradient_descent.py | 34 def __init__(self, learning_rate, use_locking=False, name="GradientDescent"): argument
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| D | proximal_gradient_descent.py | 38 def __init__(self, learning_rate, l1_regularization_strength=0.0, argument
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | test_utils.py | 104 learning_rate=0.1, ignore_params_fn=lambda _: (), argument
172 learning_rate=0.1, rtol=0.2, atol=0.1, train_loss_tolerance_coeff=0.99, argument
257 learning_rate=0.1, argument
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| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | addsign_test.py | 63 learning_rate=0.1, argument
166 learning_rate=0.1, argument
|
| D | powersign_test.py | 64 learning_rate=0.1, argument
171 learning_rate=0.1, argument
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| D | weight_decay_optimizers.py | 304 def __init__(self, weight_decay, learning_rate, momentum, argument
359 def __init__(self, weight_decay, learning_rate=0.001, beta1=0.9, beta2=0.999, argument
400 learning_rate=1.0, argument
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| D | reg_adagrad_optimizer.py | 47 learning_rate, argument
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| /external/tensorflow/tensorflow/python/keras/mixed_precision/experimental/ |
| D | loss_scale_optimizer.py | 101 def learning_rate(self): member in LossScaleOptimizer
105 def learning_rate(self, lr): member in LossScaleOptimizer
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | sgdr_learning_rate_decay.py | 28 def sgdr_decay(learning_rate, global_step, initial_period_steps, argument
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| /external/tensorflow/tensorflow/contrib/boosted_trees/proto/ |
| D | learner.proto | 42 float learning_rate = 1; field
88 float learning_rate = 3; field
|
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | mnist.py | 100 def training(loss, learning_rate): argument
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | adamax.py | 45 learning_rate=0.001, argument
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| D | ftrl.py | 57 learning_rate, argument
|
| D | adadelta.py | 60 learning_rate=0.001, argument
|
| D | nadam.py | 64 learning_rate=0.001, argument
|
| D | adam.py | 48 learning_rate=0.001, argument
|
| D | gradient_descent.py | 63 learning_rate=0.001, argument
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| D | rmsprop.py | 64 learning_rate=0.001, argument
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | powersign_test.py | 61 learning_rate=0.1, argument
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| D | addsign_test.py | 60 learning_rate=0.1, argument
|
| /external/tensorflow/tensorflow/python/tpu/ |
| D | tpu_embedding.py | 122 def __init__(self, learning_rate, use_gradient_accumulation): argument
130 def __init__(self, learning_rate, initial_accumulator=0.1, argument
152 def __init__(self, learning_rate, argument
203 def __init__(self, learning_rate): argument
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| /external/tensorflow/tensorflow/contrib/optimizer_v2/ |
| D | gradient_descent.py | 30 def __init__(self, learning_rate, use_locking=False, name="GradientDescent"): argument
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | dynamic_rnn_estimator.py | 394 learning_rate=None, argument
564 learning_rate=0.1, argument
|