/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
mnist_softmax.py | 54 # So here we use tf.losses.sparse_softmax_cross_entropy on the raw 56 cross_entropy = tf.losses.sparse_softmax_cross_entropy(labels=y_, logits=y)
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mnist.py | 97 return tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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mnist_softmax_xla.py | 53 # So here we use tf.losses.sparse_softmax_cross_entropy on the raw 55 cross_entropy = tf.losses.sparse_softmax_cross_entropy(labels=y_, logits=y)
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mnist_deep.py | 140 cross_entropy = tf.losses.sparse_softmax_cross_entropy(
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mnist_with_summaries.py | 119 # So here we use tf.losses.sparse_softmax_cross_entropy on the 123 cross_entropy = tf.losses.sparse_softmax_cross_entropy(
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/external/tensorflow/tensorflow/contrib/losses/python/losses/ |
loss_ops_test.py | 288 loss_ops.sparse_softmax_cross_entropy(logits, labels, weights=None) 296 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 306 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 316 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 327 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 338 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 349 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels) 360 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels, weights) 370 loss = loss_ops.sparse_softmax_cross_entropy( 381 loss = loss_ops.sparse_softmax_cross_entropy(logits, labels, weights [all...] |
loss_ops.py | 38 "sparse_softmax_cross_entropy" 402 "Use tf.losses.sparse_softmax_cross_entropy instead. Note that " 404 def sparse_softmax_cross_entropy(logits, labels, weights=1.0, scope=None): function
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/external/tensorflow/tensorflow/python/kernel_tests/ |
losses_test.py | 223 losses.sparse_softmax_cross_entropy(labels, logits, weights=None) 230 loss = losses.sparse_softmax_cross_entropy(labels, logits) 239 loss = losses.sparse_softmax_cross_entropy(labels, logits) 248 loss = losses.sparse_softmax_cross_entropy(labels, logits) 258 loss = losses.sparse_softmax_cross_entropy(labels, logits) 268 loss = losses.sparse_softmax_cross_entropy(labels, logits) 278 loss = losses.sparse_softmax_cross_entropy(labels, logits) 288 loss = losses.sparse_softmax_cross_entropy(labels, logits, weights) 297 loss = losses.sparse_softmax_cross_entropy(labels, logits, 307 loss = losses.sparse_softmax_cross_entropy( [all...] |
/external/tensorflow/tensorflow/examples/learn/ |
iris_custom_decay_dnn.py | 50 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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iris_custom_model.py | 51 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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mnist.py | 80 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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multiple_gpu.py | 69 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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text_classification_character_rnn.py | 62 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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text_classification_cnn.py | 90 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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resnet.py | 154 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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text_classification.py | 48 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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text_classification_character_cnn.py | 91 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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/external/tensorflow/tensorflow/examples/tutorials/layers/ |
cnn_mnist.py | 100 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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/external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
eval_metrics.py | 75 losses.sparse_softmax_cross_entropy(probabilities,
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/external/tensorflow/tensorflow/examples/speech_commands/ |
train.py | 147 cross_entropy_mean = tf.losses.sparse_softmax_cross_entropy(
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/external/tensorflow/tensorflow/python/ops/losses/ |
losses_impl.py | 790 def sparse_softmax_cross_entropy( function [all...] |
/external/tensorflow/tensorflow/examples/image_retraining/ |
retrain.py | [all...] |
/external/tensorflow/tensorflow/python/estimator/canned/ |
head.py | 682 unweighted_loss = losses.sparse_softmax_cross_entropy( [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
head_test.py | [all...] |