Searched refs:binary_crossentropy (Results 1 – 25 of 26) sorted by relevance
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| /external/tensorflow/tensorflow/python/keras/ |
| D | losses.py | 601 binary_crossentropy,
1782 def binary_crossentropy(y_true, function
1823 backend.binary_crossentropy(y_true, y_pred, from_logits=from_logits),
1827 @dispatch.dispatch_for_types(binary_crossentropy, ragged_tensor.RaggedTensor)
1857 binary_crossentropy,
2060 bce = BCE = binary_crossentropy
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| D | losses_test.py | 39 losses.categorical_crossentropy, losses.binary_crossentropy,
172 output_from_logit = losses.binary_crossentropy(
174 output_from_sigmoid = losses.binary_crossentropy(target, sigmoid_output)
181 output_from_logit_axis = losses.binary_crossentropy(
183 output_from_sigmoid_axis = losses.binary_crossentropy(
193 self.assertEqual(bce_fn, losses.binary_crossentropy)
275 loss = losses.binary_crossentropy(y_true, y_pred)[0]
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| D | metrics.py | 39 from tensorflow.python.keras.losses import binary_crossentropy
3213 binary_crossentropy,
3603 bce = BCE = binary_crossentropy
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| D | backend_test.py | 1629 result = self.evaluate(backend.binary_crossentropy(t, p))
1780 self.evaluate(backend.binary_crossentropy(t, logits, from_logits=True))
1789 self.evaluate(backend.binary_crossentropy(t, p, from_logits=True))
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| /external/rnnoise/training/ |
| D | rnn_train.py | 32 return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true), axis=-1)
41 …qrt(y_true))) + K.square(K.sqrt(y_pred) - K.sqrt(y_true)) + 0.01*K.binary_crossentropy(y_pred, y_t…
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.losses.-binary-crossentropy.pbtxt | 9 …gs=None, keywords=None, defaults=[\'False\', \'0.0\', \'-1\', \'auto\', \'binary_crossentropy\'], "
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| D | tensorflow.losses.pbtxt | 92 name: "binary_crossentropy"
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| D | tensorflow.metrics.pbtxt | 184 name: "binary_crossentropy"
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| D | tensorflow.metrics.-binary-crossentropy.pbtxt | 136 …\', \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'binary_crossentropy\', \'None\'…
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| /external/libopus/scripts/ |
| D | dump_rnn.py | 33 return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true), axis=-1)
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| D | rnn_train.py | 20 return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true), axis=-1)
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| /external/libopus/training/ |
| D | rnn_dump.py | 36 return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true), axis=-1)
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| D | rnn_train.py | 29 return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_true, y_pred), axis=-1)
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_gpu_test.py | 55 …loss = lambda y_true, y_pred: backend.binary_crossentropy( # pylint: disable=g-long-lambda, unnec…
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| D | training_utils_v1.py | 796 losses.mean_squared_error, losses.binary_crossentropy,
1160 loss_fn.fn == losses.binary_crossentropy))
1173 return metrics_module.binary_crossentropy
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| D | training_generator_test.py | 375 model.compile(loss=losses.binary_crossentropy, optimizer='sgd')
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| D | compile_utils.py | 524 metric_obj = metrics_mod.binary_crossentropy
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| D | compile_utils_test.py | 595 metrics_mod.binary_crossentropy)
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| D | functional_test.py | 2019 model.add_loss(losses.binary_crossentropy(labels, outputs))
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | mirrored_strategy_test.py | 113 loss = keras.losses.binary_crossentropy(labels, pred)
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| D | multi_worker_test.py | 259 loss = keras.losses.binary_crossentropy(labels, pred)
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| D | custom_training_loop_models_test.py | 248 keras.losses.binary_crossentropy(
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| D | distribute_strategy_test.py | 1011 bce = keras.losses.binary_crossentropy(label, predict)
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | custom_training_loop_test.py | 99 loss = keras.losses.binary_crossentropy(y, y_pred)
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| D | add_loss_correctness_test.py | 451 model.add_loss(losses.binary_crossentropy(targets, outputs))
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