<summary> <para>Get the mask state of a given GPU</para> </summary> <param name='index'>Index of GPU</param>

<summary> <para>Get the weight decay lambda value.</para> </summary>

* \brief Create an empty tensor */

< Dropout rate */ * \brief Build a feed forward layer * * \param input_dim Input dimension * \param output_dim Output dimension * \param a

* \brief Default constructor * \details Dont forget to add layers! */

* \brief Constructor * * \param m ParameterCollection to be trained * \param learning_rate Initial learning rate * \param mom Momentum

without using pseudo-batching

See "Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks" by Tai, Nary, and Manning (2015), section 3.2, for detail

* \brief Default constructor */

* \brief Constructor * * \param c Constant value */

* \brief Constructor * \param f File name (format should just be a list of values) */

* \brief Constructor * * \param v Vector of values to be used */

* \brief Constructor * * \param is_lookup Boolean value identifying the parameter as a LookupParameter * \param gain Scaling parameter. In or

* \brief Constructor */