| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 459 beta_1=0.9, argument
469 self.beta_1 = K.variable(beta_1, name='beta_1')
492 (1. - math_ops.pow(self.beta_1, t)))
503 m_t = (self.beta_1 * m) + (1. - self.beta_1) * g
526 'beta_1': float(K.get_value(self.beta_1)),
552 beta_1=0.9, argument
561 self.beta_1 = K.variable(beta_1, name='beta_1')
581 lr_t = lr / (1. - math_ops.pow(self.beta_1, t))
592 m_t = (self.beta_1 * m) + (1. - self.beta_1) * g
610 'beta_1': float(K.get_value(self.beta_1)),
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceApplyAdam.pbtxt | 79 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
80 $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$
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| D | api_def_ResourceApplyAdamWithAmsgrad.pbtxt | 79 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
80 $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$
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| D | api_def_ApplyAdam.pbtxt | 85 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
86 $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | adamax.py | 46 beta_1=0.9, argument
104 self._set_hyper('beta_1', beta_1)
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| D | adam_test.py | 375 beta_1 = 0.9
382 beta_1=beta_1,
425 beta_1 = 0.9
431 beta_1=beta_1,
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| D | adam.py | 49 beta_1=0.9, argument
138 self._set_hyper('beta_1', beta_1)
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| D | nadam.py | 65 beta_1=0.9, argument
101 self._set_hyper('beta_1', beta_1)
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| 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.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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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| 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.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
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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.keras.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
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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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| /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/tensorflow/tensorflow/python/training/tracking/ |
| D | util_test.py | 1202 self.evaluate(optimizer.beta_1.assign(42.))
1233 optimizer = adam.Adam(0.001, beta_1=1.0)
1254 self.assertEqual(42., self.evaluate(optimizer.beta_1))
1431 self.evaluate(optimizer.beta_1.assign(3.))
1440 self.evaluate(root_trackable.optimizer.beta_1.assign(103.))
1449 self.evaluate(root_trackable.optimizer.beta_1))
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| /external/speex/libspeexdsp/ |
| D | preprocess.c | 732 spx_word16_t beta, beta_1; in speex_preprocess_run() local
741 beta_1 = Q15_ONE-beta; in speex_preprocess_run()
778 …st->noise[i] = MAX32(EXTEND32(0),MULT16_32_Q15(beta_1,st->noise[i]) + MULT16_32_Q15(beta,SHL32(st-… in speex_preprocess_run()
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