Searched refs:categorical_crossentropy (Results 1 – 25 of 26) sorted by relevance
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| /external/tensorflow/tensorflow/python/keras/ |
| D | losses.py | 684 categorical_crossentropy,
1593 def categorical_crossentropy(y_true, function
1631 return K.categorical_crossentropy(y_true, y_pred, from_logits=from_logits)
1634 @dispatch.dispatch_for_types(categorical_crossentropy,
1653 categorical_crossentropy,
1962 loss.fn == categorical_crossentropy) or
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| D | backend_test.py | 1634 result = backend.categorical_crossentropy(t, p)
1638 result = backend.categorical_crossentropy(t, p, axis=0)
1642 result = backend.categorical_crossentropy(t, p, from_logits=True),
1646 result = backend.categorical_crossentropy(t, p, from_logits=True, axis=0),
1653 o = backend.categorical_crossentropy(t, p)
1666 o = backend.categorical_crossentropy(t, p, axis=0)
1675 o = backend.categorical_crossentropy(t, p, from_logits=True)
1682 o = backend.categorical_crossentropy(t, p, from_logits=True, axis=0)
1694 result = self.evaluate(backend.categorical_crossentropy(t, p))
1796 self.evaluate(backend.categorical_crossentropy(t, p, from_logits=True))
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| D | losses_test.py | 43 losses.categorical_crossentropy, losses.binary_crossentropy,
86 output_from_logit = losses.categorical_crossentropy(
88 output_from_softmax = losses.categorical_crossentropy(
99 o = losses.categorical_crossentropy(t, p)
114 o = losses.categorical_crossentropy(t, p, from_logits=True)
268 loss = losses.categorical_crossentropy(y_true, logits, from_logits=True)[0]
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| D | metrics.py | 46 from tensorflow.python.keras.losses import categorical_crossentropy
3148 categorical_crossentropy,
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.losses.-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'0\', \'auto\', \'categorical_crossentropy\'], "
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| D | tensorflow.losses.-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'0\', \'auto\', \'categorical_crossentropy\'], "
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| D | tensorflow.keras.losses.pbtxt | 96 name: "categorical_crossentropy"
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| D | tensorflow.losses.pbtxt | 96 name: "categorical_crossentropy"
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| D | tensorflow.keras.metrics.-categorical-crossentropy.pbtxt | 136 … \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'categorical_crossentropy\', \'None…
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| D | tensorflow.metrics.pbtxt | 188 name: "categorical_crossentropy"
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| D | tensorflow.metrics.-categorical-crossentropy.pbtxt | 136 … \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'categorical_crossentropy\', \'None…
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| D | tensorflow.keras.metrics.pbtxt | 188 name: "categorical_crossentropy"
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| D | tensorflow.keras.backend.pbtxt | 68 name: "categorical_crossentropy"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.losses.-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'0\', \'auto\', \'categorical_crossentropy\'], "
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| D | tensorflow.keras.losses.pbtxt | 92 name: "categorical_crossentropy"
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| D | tensorflow.keras.metrics.-categorical-crossentropy.pbtxt | 136 … \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'categorical_crossentropy\', \'None…
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| D | tensorflow.keras.metrics.pbtxt | 188 name: "categorical_crossentropy"
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| D | tensorflow.keras.backend.pbtxt | 72 name: "categorical_crossentropy"
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_gpu_test.py | 54 loss = lambda y_true, y_pred: K.categorical_crossentropy( # pylint: disable=g-long-lambda
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| D | compile_utils.py | 483 metric_obj = metrics_mod.categorical_crossentropy
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| D | training_utils_v1.py | 803 losses.categorical_crossentropy
1173 return metrics_module.categorical_crossentropy
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| D | compile_utils_test.py | 586 metrics_mod.categorical_crossentropy)
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| D | functional_test.py | 2047 model.add_loss(losses.categorical_crossentropy(labels, outputs))
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| /external/tensorflow/tensorflow/compiler/xla/g3doc/tutorials/ |
| D | autoclustering_xla.ipynb | 155 " model.compile(loss='categorical_crossentropy',\n",
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | save_test.py | 390 keras.metrics.categorical_crossentropy,
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