First 15 translation #281
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First 15 translation #281
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tink2123
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Nov 6, 2018
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verry good！thanks！
plz fix some typo and we will merge it
doc/fluid/api/fluid_cn.rst
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| class paddle.fluid.Program | ||
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| 创建python program， 在paddleFluid内部会被转换为ProgramDesc描述语言，是被用来创建c++ Program。Program像容器一样也是一种独立的程序语言。Program包括至少一个块（Block），控制流比如conditional_block包括while_op，该Program将会含有嵌套快（nested block）。详情请参阅framework.proto。 |
doc/fluid/api/fluid_cn.rst
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| 参数： | ||
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| - throw_on_error(bool): 有设置任何必需的字段时，抛出值错误。 |
doc/fluid/api/fluid_cn.rst
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| .. code-block:: python | ||
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| >>> import paddle.fluid as fluid | ||
| >>> |
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辛苦把代码段中的 >>>去掉，将来遇到相同情况也做同样的操作。
doc/fluid/api/fluid_cn.rst
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| .. code-block:: python | ||
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| >>> import paddle.fluid as fluid |
doc/fluid/api/fluid_cn.rst
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| class paddle.fluid.WeightNormParamAttr(dim=None, name=None, initializer=None, learning_rate=1.0, regularizer=None, trainable=True, gradient_clip=None, do_model_average=False) | ||
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| 用于取得权重范数。权重范数将权重向量的长度与其方向解耦。`Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks <https://arxiv.org/pdf/1602.07868.pdf>`_ 这篇paper中讨论了权重范数的实现 |
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将“取得权重范数”替换成“进行权重归一化”或“进行权重规范化”感觉会更好一点。
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| 参数: dtype(int |float)——lod_tensor_array中元素的数据类型。 | ||
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| 返回: lod_tensor_array， 元素数据类型为dtype。 |
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元素数据类型为dtype ==》存储元素的数据类型信息
或替换成其他你认为合适的表达
doc/fluid/api/layers_cn.rst
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| step_input(x) | ||
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| 将序列标记为动态RNN输入。:参数x:输入序列。:x型:变量 |
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此处英文格式有误，辛苦将参数说明单独成行，如：
- x：输入序列
- x类型：变量
下同
| update_memory(ex_mem, new_mem) | ||
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| 将内存从ex_mem更新到new_mem。注意，ex_mem和new_mem的shape和数据类型必须相同。:param ex_mem:memory Variable。:param ex_mem: the memory variable. :type ex_mem: Variable :param new_mem: the plain variable generated in RNN block. :type new_mem: Variable | ||
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修改笔误等
修改笔误等
修改部分格式
修改了写格式
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15个api翻译