Python one_hot_encoding Exemples

Exemple #1

Fichier : ops_test.py Projet : Aravindreddy986/TensorFlowOnSpark

 def testOneHotEncoding(self):
   with self.test_session():
     labels = tf.constant([0, 1, 2])
     one_hot_labels = tf.constant([[1, 0, 0],
                                   [0, 1, 0],
                                   [0, 0, 1]])
     output = ops.one_hot_encoding(labels, num_classes=3)
     self.assertAllClose(output.eval(), one_hot_labels.eval())

Exemple #2

Fichier : ops_test.py Projet : yinjiayang/DL-Gesture-Recognition

 def testOneHotEncoding(self):
   with self.test_session():
     labels = tf.constant([0, 1, 2])
     one_hot_labels = tf.constant([[1, 0, 0],
                                   [0, 1, 0],
                                   [0, 0, 1]])
     output = ops.one_hot_encoding(labels, num_classes=3)
     self.assertAllClose(output.eval(), one_hot_labels.eval())

Exemple #3

Fichier : ops_test.py Projet : Aravindreddy986/TensorFlowOnSpark

 def testOneHotEncodingCreate(self):
   with self.test_session():
     labels = tf.constant([0, 1, 2])
     output = ops.one_hot_encoding(labels, num_classes=3)
     self.assertEquals(output.op.name, 'OneHotEncoding/SparseToDense')
     self.assertListEqual(output.get_shape().as_list(), [3, 3])

Exemple #4

Fichier : ops_test.py Projet : matthewstidham/AI_Reader

 def testOneHotEncodingCreate(self):
     with self.test_session():
         labels = tf.constant([0, 1, 2])
         output = ops.one_hot_encoding(labels, num_classes=3)
         self.assertEqual(output.op.name, 'OneHotEncoding/SparseToDense')
         self.assertListEqual(output.get_shape().as_list(), [3, 3])