From 9aee7aa0fd179d1e4cbd2b34a2059237b31725d2 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Thu, 13 Oct 2016 07:16:27 +0000 Subject: [PATCH] Deploy to GitHub Pages: 43f7d7b7684b8c4cee4e396f57c4c841f41b2dbe --- .../ui/api/trainer_config_helpers/layers.txt | 6 +++ doc/searchindex.js | 2 +- doc/source/gserver/layers/layer.html | 3 +- doc/ui/api/trainer_config_helpers/layers.html | 52 ++++++++++++++++++- .../trainer_config_helpers/layers_index.html | 1 + 5 files changed, 60 insertions(+), 4 deletions(-) diff --git a/doc/_sources/ui/api/trainer_config_helpers/layers.txt b/doc/_sources/ui/api/trainer_config_helpers/layers.txt index c1d7a7ce815..5271262d20d 100644 --- a/doc/_sources/ui/api/trainer_config_helpers/layers.txt +++ b/doc/_sources/ui/api/trainer_config_helpers/layers.txt @@ -371,6 +371,12 @@ ctc_layer :members: ctc_layer :noindex: +nce_layer +----------- +.. automodule:: paddle.trainer_config_helpers.layers + :members: nce_layer + :noindex: + hsigmoid --------- .. automodule:: 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\ No newline at end of file diff --git a/doc/source/gserver/layers/layer.html b/doc/source/gserver/layers/layer.html index 453a44b4e69..c077aeddd28 100644 --- a/doc/source/gserver/layers/layer.html +++ b/doc/source/gserver/layers/layer.html @@ -7794,7 +7794,8 @@ Hierarchical Probabilistic Neural Network Language Model.”

class paddle::NCELayer
-

Noise-contrastive estimation Implements the method in the following paper: A fast and simple algorithm for training neural probabilistic language models

+

Noise-contrastive estimation. Implements the method in the following paper: A fast and simple algorithm for training neural probabilistic language models.

+

The config file api is nce_layer.

Inherits from paddle::Layer

Public Functions

diff --git a/doc/ui/api/trainer_config_helpers/layers.html b/doc/ui/api/trainer_config_helpers/layers.html index 99e2734b672..a11f93cb71c 100644 --- a/doc/ui/api/trainer_config_helpers/layers.html +++ b/doc/ui/api/trainer_config_helpers/layers.html @@ -129,7 +129,7 @@ reasons.

  • name (basestring) – Layer output name.
  • layer_type (basestring) – Current Layer Type. One of LayerType enumeration.
  • activation (BaseActivation.) – Layer Activation.
    • -
  • parents (list|tuple|collection.Sequence) – Layer’s parents.
    • +
  • parents (list|tuple|collections.Sequence) – Layer’s parents.
    • @@ -1524,13 +1524,17 @@ SumPooling, SquareRootNPooling. paddle.trainer_config_helpers.layers.concat_layer(*args, **kwargs)

    Concat all input vector into one huge vector. Inputs can be list of LayerOutput or list of projection.

    +

    The example usage is:

    +
    concat = concat_layer(input=[layer1, layer2])
+
    +
    Parameters:
    • name (basestring) – Layer name.
      • -
    • input (list|tuple|collection.Sequence) – input layers or projections
      • +
    • input (list|tuple|collections.Sequence) – input layers or projections
    • act (BaseActivation) – Activation type.
    • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
    @@ -2468,6 +2472,49 @@ should also be num_classes + 1.

    + +
    +

    nce_layer

    +
    +
    +paddle.trainer_config_helpers.layers.nce_layer(*args, **kwargs)
    +

    Noise-contrastive estimation. +Implements the method in the following paper: +A fast and simple algorithm for training neural probabilistic language models.

    +

    The example usage is:

    +
    cost = nce_layer(input=layer1, label=layer2, weight=layer3,
+                 num_classes=3, neg_distribution=[0.1,0.3,0.6])
+
    +
    + +++ + + + + + + + +
    Parameters:
      +
    • name (basestring) – layer name
      • +
    • input (LayerOutput|list|tuple|collections.Sequence) – input layers. It could be a LayerOutput of list/tuple of LayerOutput.
      • +
    • label (LayerOutput) – label layer
      • +
    • weight (LayerOutput) – weight layer, can be None(default)
      • +
    • num_classes (int) – number of classes.
      • +
    • num_neg_samples (int) – number of negative samples. Default is 10.
      • +
    • neg_distribution (list|tuple|collections.Sequence|None) – The distribution for generating the random negative labels. +A uniform distribution will be used if not provided. +If not None, its length must be equal to num_classes.
      • +
    • bias_attr (ParameterAttribute|None|False) – Bias parameter attribute. True if no bias.
      • +
    • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
      • +
    +
    Returns:

    layer name.

    +
    Return type:

    LayerOutput

    +
    +
    +

    hsigmoid

    @@ -2655,6 +2702,7 @@ It is used by recurrent layer group.

  • crf_layer
  • crf_decoding_layer
  • ctc_layer
    • +
  • nce_layer
  • hsigmoid
    • diff --git a/doc/ui/api/trainer_config_helpers/layers_index.html b/doc/ui/api/trainer_config_helpers/layers_index.html index 75693063fb7..0740512a8b3 100644 --- a/doc/ui/api/trainer_config_helpers/layers_index.html +++ b/doc/ui/api/trainer_config_helpers/layers_index.html @@ -169,6 +169,7 @@ var _hmt = _hmt || [];
  • crf_layer
  • crf_decoding_layer
  • ctc_layer
    • +
  • nce_layer
  • hsigmoid
    • -- GitLab