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d4fcd2a5
编写于
12月 01, 2017
作者:
D
dangqingqing
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Fix the doc of LSTM operator.
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44e39144
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paddle/operators/lstm_op.cc
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paddle/operators/lstm_op.cc
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@@ -198,27 +198,27 @@ c_t = f_t \odot c_{t-1} + i_t \odot \tilde{c_t} \\
h_t = o_t \odot act_h(c_t)
$$
where the W terms denote weight matrices (e.g.
\f$W_{xi}\f
$ is the matrix
of weights from the input gate to the input),
\f$W_{ic}, W_{fc}, W_{oc}\f
$
where the W terms denote weight matrices (e.g.
$W_{xi}
$ is the matrix
of weights from the input gate to the input),
$W_{ic}, W_{fc}, W_{oc}
$
are diagonal weight matrices for peephole connections. In our implementation,
we use vectors to reprenset these diagonal weight matrices. The b terms
denote bias vectors (
\f$b_i\f$ is the input gate bias vector), \f$\sigma\f
$
denote bias vectors (
$b_i$ is the input gate bias vector), $\sigma
$
is the non-line activations, such as logistic sigmoid function, and
\f$i, f, o\f$ and \f$c\f
$ are the input gate, forget gate, output gate,
$i, f, o$ and $c
$ are the input gate, forget gate, output gate,
and cell activation vectors, respectively, all of which have the same size as
the cell output activation vector
\f$h\f
$.
the cell output activation vector
$h
$.
The
\f$\odot\f$ is the element-wise product of the vectors. \f$act_g\f$ and \f$act_h\f
$
The
$\odot$ is the element-wise product of the vectors. $act_g$ and $act_h
$
are the cell input and cell output activation functions and `tanh` is usually
used for them.
\f$\tilde{c_t}\f
$ is also called candidate hidden state,
used for them.
$\tilde{c_t}
$ is also called candidate hidden state,
which is computed based on the current input and the previous hidden state.
Set `use_peepholes` False to disable peephole connection
(http://www.bioinf.jku.at/publications/older/2604.pdf). The formula
is omitted here
.
Set `use_peepholes` False to disable peephole connection
. The formula
is omitted here, please refer to the paper
http://www.bioinf.jku.at/publications/older/2604.pdf for details
.
Note that these
\f$W_{xi}x_{t}, W_{xf}x_{t}, W_{xc}x_{t}, W_{xo}x_{t}\f
$
operations on the input
\f$x_{t}\f
$ are NOT included in this operator.
Note that these
$W_{xi}x_{t}, W_{xf}x_{t}, W_{xc}x_{t}, W_{xo}x_{t}
$
operations on the input
$x_{t}
$ are NOT included in this operator.
Users can choose to use fully-connect operator before LSTM operator.
)DOC"
);
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