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c0637048
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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c0637048
编写于
7月 30, 2016
作者:
A
A. Unique TensorFlower
提交者:
TensorFlower Gardener
7月 30, 2016
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Update generated Python Op docs.
Change: 128894163
上级
0d534ca6
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
48 addition
and
0 deletion
+48
-0
tensorflow/g3doc/api_docs/python/contrib.losses.md
tensorflow/g3doc/api_docs/python/contrib.losses.md
+25
-0
tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.losses.hinge_loss.md
...ctions_and_classes/shard1/tf.contrib.losses.hinge_loss.md
+22
-0
tensorflow/g3doc/api_docs/python/index.md
tensorflow/g3doc/api_docs/python/index.md
+1
-0
未找到文件。
tensorflow/g3doc/api_docs/python/contrib.losses.md
浏览文件 @
c0637048
...
...
@@ -140,6 +140,31 @@ Notice that the function adds the given losses to the regularization losses.
*
<b>
`ValueError`
</b>
: if
`losses`
is not iterable.
- - -
### `tf.contrib.losses.hinge_loss(logits, target, scope=None)` {#hinge_loss}
Method that returns the loss tensor for hinge loss.
##### Args:
*
<b>
`logits`
</b>
: The logits, a float tensor.
*
<b>
`target`
</b>
: The ground truth output tensor. Its shape should match the shape of
logits. The values of the tensor are expected to be 0.0 or 1.0.
*
<b>
`scope`
</b>
: The scope for the operations performed in computing the loss.
##### Returns:
A
`Tensor`
of same shape as logits and target representing the loss values
across the batch.
##### Raises:
*
<b>
`ValueError`
</b>
: If the shapes of
`logits`
and
`target`
don't match.
- - -
### `tf.contrib.losses.log_loss(predictions, targets, weight=1.0, epsilon=1e-07, scope=None)` {#log_loss}
...
...
tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.losses.hinge_loss.md
0 → 100644
浏览文件 @
c0637048
### `tf.contrib.losses.hinge_loss(logits, target, scope=None)` {#hinge_loss}
Method that returns the loss tensor for hinge loss.
##### Args:
*
<b>
`logits`
</b>
: The logits, a float tensor.
*
<b>
`target`
</b>
: The ground truth output tensor. Its shape should match the shape of
logits. The values of the tensor are expected to be 0.0 or 1.0.
*
<b>
`scope`
</b>
: The scope for the operations performed in computing the loss.
##### Returns:
A
`Tensor`
of same shape as logits and target representing the loss values
across the batch.
##### Raises:
*
<b>
`ValueError`
</b>
: If the shapes of
`logits`
and
`target`
don't match.
tensorflow/g3doc/api_docs/python/index.md
浏览文件 @
c0637048
...
...
@@ -745,6 +745,7 @@
*
[
`get_losses`
](
../../api_docs/python/contrib.losses.md#get_losses
)
*
[
`get_regularization_losses`
](
../../api_docs/python/contrib.losses.md#get_regularization_losses
)
*
[
`get_total_loss`
](
../../api_docs/python/contrib.losses.md#get_total_loss
)
*
[
`hinge_loss`
](
../../api_docs/python/contrib.losses.md#hinge_loss
)
*
[
`log_loss`
](
../../api_docs/python/contrib.losses.md#log_loss
)
*
[
`sigmoid_cross_entropy`
](
../../api_docs/python/contrib.losses.md#sigmoid_cross_entropy
)
*
[
`softmax_cross_entropy`
](
../../api_docs/python/contrib.losses.md#softmax_cross_entropy
)
...
...
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