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rename mse_cost into square_error_cost. #3845

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Merged
merged 3 commits into from
Sep 4, 2017
Merged

rename mse_cost into square_error_cost. #3845

merged 3 commits into from
Sep 4, 2017

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@lcy-seso
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@lcy-seso lcy-seso commented Sep 4, 2017

fixes #2246
@lcy-seso lcy-seso requested a review from guoshengCS September 4, 2017 06:30
@lcy-seso lcy-seso force-pushed the rename_mse_to_square_error branch from 6013af1 to fb49bc2 Compare September 4, 2017 06:49
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luotao1 commented Sep 4, 2017

doc/ 下面还有一些mse_cost的，可以一起改掉

[luotao@m1-idl-gpu2-bak24: Paddle] develop -> $ grep -r mse_cost doc doc/api/v2/config/layer.rst:mse_cost doc/api/v2/config/layer.rst:.. autoclass:: paddle.v2.layer.mse_cost doc/getstarted/basic_usage/index_cn.rst: cost = mse_cost(input= ȳ, label=y) doc/getstarted/basic_usage/index_cn.rst: - **回归误差代价层**：回归误差代价层 `mse_cost` 是众多误差代价函数层的一种，它们在训练过程作为网络的出口，用来计算模型的误差，是模型参数优化的目标函数。 doc/getstarted/basic_usage/index_en.rst: cost = mse_cost(input=y_predict, label=y) doc/getstarted/concepts/src/train.py:cost = paddle.layer.mse_cost(input=y_predict, label=y) doc/getstarted/concepts/use_concepts_cn.rst: cost = paddle.layer.mse_cost(input=y_predict, label=y) doc/howto/usage/k8s/k8s_distributed_cn.md:[INFO 2016-11-16 09:10:17,239 networks.py:1289] The output order is [__mse_cost_0__]
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lcy-seso commented Sep 4, 2017

@luotao1 done. Thank you ~
guoshengCS
guoshengCS reviewed Sep 4, 2017
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doc/getstarted/concepts/use_concepts_cn.rst Outdated
cost = paddle.layer.mse_cost(input=y_predict, label=y)
cost = paddle.layer.square_error_cost(input=y_predict, label=y)
其中，x与y为之前描述的输入层；而y_predict是接收x作为输入，接上一个全连接层；cost接收y_predict与y作为输入，接上均方误差层。
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均方误差建议修改
@lcy-seso lcy-seso force-pushed the rename_mse_to_square_error branch from 845e213 to 10eacac Compare September 4, 2017 08:22
@lcy-seso lcy-seso merged commit d7b2058 into PaddlePaddle:develop Sep 4, 2017
@lcy-seso lcy-seso deleted the rename_mse_to_square_error branch September 4, 2017 14:05
@typhoonzero typhoonzero mentioned this pull request Sep 8, 2017
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@lcy-seso lcy-seso mentioned this pull request Nov 10, 2017
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