This method will return a table indicating the name and corresponding parameters.
This method will return a table indicating the name and corresponding parameters.
Table
This function returns two arrays.
This function returns two arrays. One for the weights and the other the gradients Custom modules should override this function if they have parameters
(Array of weights, Array of grad)
(Since version 0.3.0) please use recommended saveModule(path, overWrite)
NB: This implementation is almost the same as "com.intel.analytics.bigdl.nn.Timedistributed" except for some bug fixing. We need to merge this back to BigDL in the next release.
This layer is intended to apply contained layer to each temporal time slice of input tensor.
For instance, The TimeDistributed Layer can feed each time slice of input tensor to the Linear layer.
The input data format is [Batch, Time, Other dims]. For the contained layer, it must not change the Other dims length.
data type, which can be Double or Float