| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 460 beta_2=0.999, argument
470 self.beta_2 = K.variable(beta_2, name='beta_2')
491 K.sqrt(1. - math_ops.pow(self.beta_2, t)) /
504 v_t = (self.beta_2 * v) + (1. - self.beta_2) * math_ops.square(g)
527 'beta_2': float(K.get_value(self.beta_2)),
553 beta_2=0.999, argument
562 self.beta_2 = K.variable(beta_2, name='beta_2')
593 u_t = math_ops.maximum(self.beta_2 * u, math_ops.abs(g))
611 'beta_2': float(K.get_value(self.beta_2)),
639 beta_2=0.999, argument
[all …]
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceApplyAdam.pbtxt | 79 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
81 $$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$
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| D | api_def_ApplyAdam.pbtxt | 85 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
87 $$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$
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| D | api_def_ResourceApplyAdamWithAmsgrad.pbtxt | 79 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
81 $$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$
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| /external/eigen/Eigen/src/Core/ |
| D | MathFunctionsImpl.h | 49 const T beta_2 = pset1<T>(2.26843463243900e-03f); in generic_fast_tanh_float() local
67 q = pmadd(x2, q, beta_2); in generic_fast_tanh_float()
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | adamax.py | 47 beta_2=0.999, argument
105 self._set_hyper('beta_2', beta_2)
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| D | adam_test.py | 376 beta_2 = 0.999
383 beta_2=beta_2,
426 beta_2 = 0.999
432 beta_2=beta_2,
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| D | adam.py | 50 beta_2=0.999, argument
139 self._set_hyper('beta_2', beta_2)
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| D | nadam.py | 66 beta_2=0.999, argument
102 self._set_hyper('beta_2', beta_2)
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
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| D | tensorflow.keras.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| D | tensorflow.keras.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| D | tensorflow.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| D | tensorflow.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| D | tensorflow.keras.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
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| D | tensorflow.keras.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| D | tensorflow.keras.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | keras_optimizer_v2_test.py | 60 optimizer = adam.Adam(learning_rate=0.01, beta_1=0.2, beta_2=0.2)
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| /external/eigen/Eigen/src/Core/functors/ |
| D | UnaryFunctors.h | 1021 const Packet beta_2 = pset1<Packet>(1.16817656904453e-01);
1041 q = pmadd(x2, q, beta_2);
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