Searched refs:sparse_categorical_crossentropy (Results 1 – 25 of 31) sorted by relevance
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.losses.-sparse-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'auto\', \'sparse_categorical_crossentropy\'], "
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| D | tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'auto\', \'sparse_categorical_crossentropy\'], "
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| D | tensorflow.losses.pbtxt | 184 name: "sparse_categorical_crossentropy"
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| D | tensorflow.keras.losses.pbtxt | 184 name: "sparse_categorical_crossentropy"
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| D | tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt | 136 …ogits\', \'axis\'], varargs=None, keywords=None, defaults=[\'sparse_categorical_crossentropy\', \'…
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| D | tensorflow.keras.metrics.pbtxt | 268 name: "sparse_categorical_crossentropy"
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| D | tensorflow.metrics.-sparse-categorical-crossentropy.pbtxt | 136 …ogits\', \'axis\'], varargs=None, keywords=None, defaults=[\'sparse_categorical_crossentropy\', \'…
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| D | tensorflow.metrics.pbtxt | 268 name: "sparse_categorical_crossentropy"
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| D | tensorflow.keras.backend.pbtxt | 488 name: "sparse_categorical_crossentropy"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt | 9 …varargs=None, keywords=None, defaults=[\'False\', \'auto\', \'sparse_categorical_crossentropy\'], "
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| D | tensorflow.keras.losses.pbtxt | 184 name: "sparse_categorical_crossentropy"
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| D | tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt | 136 …ogits\', \'axis\'], varargs=None, keywords=None, defaults=[\'sparse_categorical_crossentropy\', \'…
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| D | tensorflow.keras.metrics.pbtxt | 276 name: "sparse_categorical_crossentropy"
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| /external/tensorflow/tensorflow/python/profiler/integration_test/ |
| D | mnist_testing_utils.py | 69 loss=tf.keras.losses.sparse_categorical_crossentropy,
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | multi_worker_testing_utils.py | 72 loss=keras.losses.sparse_categorical_crossentropy,
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| D | custom_training_loop_models_test.py | 410 loss = keras.losses.sparse_categorical_crossentropy(targets, outputs)
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| /external/tensorflow/tensorflow/python/keras/ |
| D | losses.py | 762 sparse_categorical_crossentropy,
1662 def sparse_categorical_crossentropy(y_true, y_pred, from_logits=False, axis=-1): function
1687 return K.sparse_categorical_crossentropy(
2051 sparse_categorical_crossentropy: 'int32'
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| D | backend_test.py | 1702 result = backend.sparse_categorical_crossentropy(t, p)
1706 result = backend.sparse_categorical_crossentropy(t, p, axis=0)
1710 result = backend.sparse_categorical_crossentropy(t, p, from_logits=True),
1714 result = backend.sparse_categorical_crossentropy(
1724 o = backend.sparse_categorical_crossentropy(t, p)
1739 o = backend.sparse_categorical_crossentropy(t, p, axis=0)
1747 o = backend.sparse_categorical_crossentropy(t, p, from_logits=True)
1757 o = backend.sparse_categorical_crossentropy(
1769 result = self.evaluate(backend.sparse_categorical_crossentropy(t, p))
1807 backend.sparse_categorical_crossentropy(t, p, from_logits=True))
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| D | losses_test.py | 73 objective_output = losses.sparse_categorical_crossentropy(y_a, y_b)
78 objective_output = losses.sparse_categorical_crossentropy(y_a, y_b)
125 output_from_logit = losses.sparse_categorical_crossentropy(
127 output_from_softmax = losses.sparse_categorical_crossentropy(
140 o = losses.sparse_categorical_crossentropy(t, p)
154 o = losses.sparse_categorical_crossentropy(t, p, from_logits=True)
279 loss = losses.sparse_categorical_crossentropy(
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| D | metrics.py | 56 from tensorflow.python.keras.losses import sparse_categorical_crossentropy
3219 sparse_categorical_crossentropy,
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_gpu_test.py | 49 … loss = lambda y_true, y_pred: K.sparse_categorical_crossentropy( # pylint: disable=g-long-lambda
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| D | compile_utils.py | 481 metric_obj = metrics_mod.sparse_categorical_crossentropy
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| D | training_utils_v1.py | 1152 loss_fn.fn == losses.sparse_categorical_crossentropy))
1172 return metrics_module.sparse_categorical_crossentropy
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| /external/tensorflow/tensorflow/lite/examples/experimental_new_converter/ |
| D | keras_lstm.ipynb | 89 " loss='sparse_categorical_crossentropy',\n",
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| D | Keras_LSTM_fusion_Codelab.ipynb | 97 " loss='sparse_categorical_crossentropy',\n",
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