- t -

• table : ebl::table_module< T, Tstate > , ebl::convolution_module< T, Tstate >
• target : ebl::class_answer< T, Tds1, Tds2, Tstate >
• targets : ebl::datasource< Tnet, Tdata > , ebl::class_answer< T, Tds1, Tds2, Tstate > , ebl::cost_module< T1, T2, Tstate1, Tstate2 >
• test_running : ebl::supervised_trainer< Tnet, Tdata, Tlabel >
• test_set : ebl::datasource< Tnet, Tdata >
• thenet : ebl::detector< T, Tstate >
• thickness : ebl::subsampling_module< T, Tstate > , ebl::lppooling_module< T, Tstate > , ebl::wavg_pooling_module< T, Tstate > , ebl::maxss_module< T, Tstate >
• thres : ebl::divisive_norm_module< T, Tstate >
• threshold : ebl::regression_answer< T, Tds1, Tds2, Tstate > , ebl::nms , ebl::scaler_answer< T, Tds1, Tds2, Tstate >
• tmp : ebl::resizepp_module< T, Tstate > , ebl::convabsnorm_layer< T, Tstate > , ebl::detector< T, Tstate > , ebl::class_answer< T, Tds1, Tds2, Tstate > , ebl::l2_energy< T, Tstate > , ebl::cross_entropy_energy< T, Tstate > , ebl::scalerclass_energy< T, Tstate > , ebl::stdsigmoid_module< T, Tstate > , ebl::tanh_module< T, Tstate > , ebl::channorm_module< T, Tstate > , ebl::laplacian_pyramid_module< T, Tstate >
• tmp1 : ebl::scalerclass_answer< T, Tds1, Tds2, Tstate >
• tmp2 : ebl::resizepp_module< T, Tstate > , ebl::scalerclass_energy< T, Tstate > , ebl::convabsnorm_layer< T, Tstate > , ebl::laplacian_pyramid_module< T, Tstate > , ebl::scalerclass_answer< T, Tds1, Tds2, Tstate >
• tmp3 : ebl::laplacian_pyramid_module< T, Tstate > , ebl::resizepp_module< T, Tstate >
• tnms : ebl::voting_nms
• total : ebl::table_module< T, Tstate >
• total_values : ebl::classifier_meter
• tw1 : ebl::jitter_module< T, Tstate >