Searched refs:categorical_hinge (Results 1 – 13 of 13) sorted by relevance
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.losses.-categorical-hinge.pbtxt | 9 …'name\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'categorical_hinge\'], "
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| D | tensorflow.keras.losses.-categorical-hinge.pbtxt | 9 …'name\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'categorical_hinge\'], "
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| D | tensorflow.losses.pbtxt | 100 name: "categorical_hinge"
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| D | tensorflow.keras.losses.pbtxt | 100 name: "categorical_hinge"
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| D | tensorflow.metrics.-categorical-hinge.pbtxt | 93 …f\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'categorical_hinge\', \'None\']…
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| D | tensorflow.keras.metrics.-categorical-hinge.pbtxt | 93 …f\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'categorical_hinge\', \'None\']…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.losses.-categorical-hinge.pbtxt | 9 …'name\'], varargs=None, keywords=None, defaults=[\'sum_over_batch_size\', \'categorical_hinge\'], "
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| D | tensorflow.keras.losses.pbtxt | 96 name: "categorical_hinge"
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| D | tensorflow.keras.metrics.-categorical-hinge.pbtxt | 93 …f\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'categorical_hinge\', \'None\']…
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/losses/ |
| D | __init__.py | 24 from tensorflow.python.keras.losses import categorical_hinge
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| /external/tensorflow/tensorflow/python/keras/ |
| D | losses.py | 532 categorical_hinge, name=name, reduction=reduction)
768 def categorical_hinge(y_true, y_pred): function
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| D | metrics.py | 36 from tensorflow.python.keras.losses import categorical_hinge
2072 super(CategoricalHinge, self).__init__(categorical_hinge, name, dtype=dtype)
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| D | losses_test.py | 50 keras.losses.categorical_hinge]
147 loss = keras.backend.eval(keras.losses.categorical_hinge(y_true, y_pred))
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