* \brief Constructor * * \param m Mean of the gaussian distribution * \param v Variance of the gaussian distribution (reminder : the variance

* \brief Constructor */

* \brief Constructor for uniform distribution centered on 0 * \details [long description]Samples parameters from \f$mathcal U([-\mathrm{scale},+\ma

* \brief Constructor * * \param m ParameterCollection to be trained * \param learning_rate Initial learning rate * \param eps Bias paramet

* \brief Constructor for the batched RNN language model * * \param model ParameterCollection to hold all parameters for training * \param LAY

return Expression for total loss

<summary> <para>Revert the computation graph state to the previous checkpoint.</para> </summary>

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<summary> <para>Number of requested gpus</para> <remarks>Cancels out "SetGPUMask" and "SetDeviceIDs"</remarks> </summary> <param name='n'>Numbers of G

<summary> <para>Returns number of records(rows) in the LookupParameter</para> </summary>