Trait opencv::dnn::prelude::RNNLayerConst [−][src]
pub trait RNNLayerConst: LayerTraitConst {
fn as_raw_RNNLayer(&self) -> *const c_void;
}Expand description
Classical recurrent layer
Accepts two inputs @f$x_t@f$ and @f$h_{t-1}@f$ and compute two outputs @f$o_t@f$ and @f$h_t@f$.
- input: should contain packed input @f$x_t@f$.
- output: should contain output @f$o_t@f$ (and @f$h_t@f$ if setProduceHiddenOutput() is set to true).
input[0] should have shape [T, N, data_dims] where T and N is number of timestamps and number of independent samples of @f$x_t@f$ respectively.
output[0] will have shape [T, N, @f$N_o@f$], where @f$N_o@f$ is number of rows in @f$ W_{xo} @f$ matrix.
If setProduceHiddenOutput() is set to true then @p output[1] will contain a Mat with shape [T, N, @f$N_h@f$], where @f$N_h@f$ is number of rows in @f$ W_{hh} @f$ matrix.