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rebuild docs
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vchuravy committed Nov 17, 2015
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6 changes: 3 additions & 3 deletions docs/api/initializer.rst
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Expand Up @@ -60,12 +60,12 @@ Built-in initializers



.. class:: XaiverInitializer
.. class:: XavierInitializer

The initializer documented in the paper [Bengio and Glorot 2010]: *Understanding
the difficulty of training deep feedforward neuralnetworks*.

There are several different version of the XaiverInitializer used in the wild.
There are several different version of the XavierInitializer used in the wild.
The general idea is that the variance of the initialization distribution is controlled
by the dimensionality of the input and output. As a distribution one can either choose
a normal distribution with μ = 0 and σ² or a uniform distribution from -σ to σ.
Expand All @@ -81,7 +81,7 @@ Built-in initializers
- mxnet: 3 / (in + out)

Distribution and variant can be chosen by enums (prefixed by ``xv_``).
As an example take ``mx.XaiverInitializer(distribution = mx.xv_normal, variant = mx.xv_mxnet)``,
As an example take ``mx.XavierInitializer(distribution = mx.xv_normal, variant = mx.xv_mxnet)``,
which is currently the default.


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4 changes: 2 additions & 2 deletions docs/api/io.rst
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Expand Up @@ -324,7 +324,7 @@ libmxnet data providers


:param prefetch_buffer: Backend Param: Number of prefetched parameters
:type prefetch_buffer: , optional, default=4
:type prefetch_buffer: long (non-negative), optional, default=4


:param rand_crop: Augmentation Param: Whether to random crop on the image
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:param prefetch_buffer: Backend Param: Number of prefetched parameters
:type prefetch_buffer: , optional, default=4
:type prefetch_buffer: long (non-negative), optional, default=4

:return: the constructed :class:`MXDataProvider`.

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2 changes: 1 addition & 1 deletion docs/api/symbolic-node.rst
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Expand Up @@ -186,7 +186,7 @@ Public APIs


:param momentum: Momentum for moving average
:type momentum: float, optional, default=0.1
:type momentum: float, optional, default=0.9

:param Base.Symbol name: The name of the :class:`SymbolicNode`. (e.g. `:my_symbol`), optional.

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