本文整理匯總了Python中inception.slim.losses.cross_entropy_loss方法的典型用法代碼示例。如果您正苦於以下問題：Python losses.cross_entropy_loss方法的具體用法？Python losses.cross_entropy_loss怎麽用？Python losses.cross_entropy_loss使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類inception.slim.losses的用法示例。
在下文中一共展示了losses.cross_entropy_loss方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testCrossEntropyLossAllCorrect
# 需要導入模塊: from inception.slim import losses [as 別名]
# 或者: from inception.slim.losses import cross_entropy_loss [as 別名]
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3) 示例2: testCrossEntropyLossAllWrong
# 需要導入模塊: from inception.slim import losses [as 別名]
# 或者: from inception.slim.losses import cross_entropy_loss [as 別名]
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3) 示例3: testCrossEntropyLossAllWrongWithWeight
# 需要導入模塊: from inception.slim import losses [as 別名]
# 或者: from inception.slim.losses import cross_entropy_loss [as 別名]
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)