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2 changes: 1 addition & 1 deletion doc/v2/api/config/evaluators.rst
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ value_printer
:noindex:

Detection
=====
==========

detection_map
-------------
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13 changes: 7 additions & 6 deletions python/paddle/trainer_config_helpers/attrs.py
Original file line number Diff line number Diff line change
Expand Up @@ -240,14 +240,15 @@ class ExtraLayerAttribute(object):
:type error_clipping_threshold: float
:param drop_rate: Dropout rate. Dropout will create a mask on layer output.
The dropout rate is the zero rate of this mask. The
details of what dropout is please refer to `here
<https://www.cs.toronto.edu/~hinton/absps/
JMLRdropout.pdf>`_.
details of what dropout is please refer to `JMLRdropout
<https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf
>`_.
:type drop_rate: float
:param device: device ID of layer. device=-1, use CPU. device>=0, use GPU.
The details allocation in parallel_nn please refer to `here
<http://www.paddlepaddle.org/doc/ui/cmd_argument/
use_case.html#case-2-specify-layers-in-different-devices>`_.
The details allocation in parallel_nn please refer to `use_case
<https://github.com/PaddlePaddle/Paddle/blob/develop/doc/v2
/howto/cmd_parameter/use_case_en.md#case-2-specify-layers-in
-different-devices>`_.
:type device: int
"""

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2 changes: 1 addition & 1 deletion python/paddle/trainer_config_helpers/layers.py
Original file line number Diff line number Diff line change
Expand Up @@ -2556,7 +2556,7 @@ def img_conv_layer(input,
the output will be obtained by concatenating the two results.

The details of grouped convolution, please refer to:
`ImageNet Classification with Deep Convolutional Neural Networks
`ImageNet Classification With Deep Convolutional Neural Networks
<http://www.cs.toronto.edu/~kriz/imagenet_classification_with_deep_convolutional.pdf>`_

The example usage is:
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