| ebl::abs_module< T, Tstate > | |
| ebl::addc_module< T, Tstate > | |
| ebl::answer_module< T, Tds1, Tds2, Tstate > | |
| ebl::average_pyramid_module< T, Tstate > | Creates a pyramid of the input with average subsampling |
| ebl::back_module< T, Tstate > | |
| ebl::bbox | A bounding box class, based on the rect class |
| ebl::bbox_parts | A bounding box that can be composed from multiple bounding boxes |
| ebl::bboxes | |
| ebl::Bbprop_tester< T > | |
| ebl::bbstate_idx< T > | |
| ebl::bgr_to_yp_module< T, Tstate > | |
| ebl::bgr_to_ypuv_module< T, Tstate > | |
| ebl::binarize_module< T, Tstate > | |
| ebl::Bprop_tester< T > | |
| ebl::bstate_idx< T > | |
| ebl::channels_module< T, Tstate > | Abstract class for image channels preprocessing |
| ebl::channorm_module< T, Tstate > | Abstract class for normalization of image channels |
| ebl::class_answer< T, Tds1, Tds2, Tstate > | |
| ebl::class_datasource< Tnet, Tdata, Tlabel > | |
| ebl::class_node< Tlabel > | |
| ebl::class_state | |
| ebl::classifier_meter | |
| ebl::codec< T > | |
| ebl::codec_lone< T > | |
| ebl::contrast_norm_module< T, Tstate > | |
| ebl::convabsnorm_layer< T, Tstate > | |
| ebl::convolution_layer< T, Tstate > | |
| ebl::convolution_module< T, Tstate > | |
| ebl::copy_module< T, Tstate > | |
| ebl::cost_module< T1, T2, Tstate1, Tstate2 > | |
| ebl::cross_entropy_energy< T, Tstate > | |
| ebl::cutborder_module< T, Tstate > | |
| ebl::datasource< Tnet, Tdata > | |
| ebl::detector< T, Tstate > | |
| ebl::diag_module< T, Tstate > | This module applies a gain per unit (like a diagonal linear module) |
| ebl::diff_module< T, Tstate > | |
| ebl::distance_l2< T > | |
| ebl::divisive_norm_module< T, Tstate > | |
| ebl::ebm_1< T, Tin, Ten > | An abstract class for a module with one inputs and one energy output |
| ebl::ebm_2< Tin1, Tin2, Ten > | An abstract class for a module with two inputs and one energy output |
| ebl::ebm_module_1_1< T, Tin, Tout, Ten > | |
| ebl::euclidean_module< T1, T2, Tstate1, Tstate2 > | |
| ebl::fc_ebm1< T, Tin, Thid, Ten > | |
| ebl::fc_ebm2< T, Tin1, Tin2, Ten > | |
| ebl::flat_merge_module< T, Tstate > | |
| ebl::forget_param | |
| ebl::forget_param_linear | |
| ebl::fovea_module< T, Tstate > | |
| ebl::fstate_idx< T > | |
| ebl::fsum_module< T, Tstate > | |
| ebl::full_layer< T, Tstate > | |
| ebl::gd_param | |
| ebl::hierarchy_datasource< Tnet, Tdata, Tlabel > | |
| ebl::infer_param | |
| ebl::interlace_module< T, Tstate > | |
| ebl::Jacobian_tester< T > | |
| ebl::jitter_module< T, Tstate > | This module jitters inputs into outputs |
| ebl::l1_penalty< T, Tstate > | An L1 penalty energy given a single input |
| ebl::l2_energy< T, Tstate > | |
| ebl::labeled_datasource< Tnet, Tdata, Tlabel > | |
| ebl::labeled_pair_datasource< Tnet, Tdata, Tlabel > | |
| ebl::laplacian_module< T, Tstate > | |
| ebl::laplacian_pyramid_module< T, Tstate > | Creates a laplacian pyramid of the input |
| ebl::layers< T, Tstate > | A stack of module_1_1 modules |
| ebl::layers_2< T, Tin, Thid, Tout > | |
| ebl::lenet< T, Tstate > | |
| ebl::lenet5< T, Tstate > | |
| ebl::lenet7< T, Tstate > | |
| ebl::lenet7_binocular< T, Tstate > | |
| ebl::lenet_cscf< T, Tstate > | |
| ebl::lenet_cscsc< T, Tstate > | |
| ebl::linear_module< T, Tstate > | |
| ebl::linear_shrink_module< T, Tstate > | |
| ebl::logadd_layer< T > | |
| ebl::lppooling_module< T, Tstate > | |
| ebl::lua_module< T, Tstate > | An interface to lua modules |
| ebl::m2s_module< T, Tin, Tout > | |
| ebl::max_classer< T > | |
| ebl::maxss_module< T, Tstate > | This module applies max subsampling |
| ebl::merge_module< T, Tstate > | |
| ebl::mirrorpad_module< T, Tstate > | |
| ebl::mnist_datasource< Tnet, Tdata, Tlabel > | |
| ebl::module | A module class containing a name |
| ebl::module_1_1< T, Tin, Tout > | An abstract class for a module with one input and one output |
| ebl::module_1_1_replicable< Tmodule, T, Tstate > | |
| ebl::module_2_1< T, Tin1, Tin2, Tout > | An abstract class for a module with two inputs and one output |
| ebl::module_tester< T > | |
| ebl::ms_module< T, Tstate > | |
| ebl::msc_module< T, Tstate > | |
| ebl::mschan_module< T, Tstate > | |
| ebl::mstate< Tstate > | |
| ebl::mstate_merge_module< T, Tstate > | A module that flattens and concatenate multiple states |
| ebl::mul_module< T, Tstate > | |
| ebl::narrow_module< T, Tstate > | |
| ebl::net_cscc< T, Tstate > | |
| ebl::net_cscf< T, Tstate > | |
| ebl::net_cscsc< T, Tstate > | |
| ebl::net_cscscf< T, Tstate > | |
| ebl::nms | |
| ebl::parameter< T, bbstate_idx< T > > | |
| ebl::parameter< T, bstate_idx< T > > | The main class for a trainable bparameter vector |
| ebl::parameter< T, fstate_idx< T > > | |
| ebl::penalty_l1< T > | |
| ebl::power_module< T, Tstate > | |
| ebl::printer_module< T, Tstate > | |
| ebl::pyramid_module< T, Tstate > | Creates a pyramid of the input |
| ebl::range_lut_module< T, Tstate > | |
| ebl::regression_answer< T, Tds1, Tds2, Tstate > | |
| ebl::resize_module< T, Tstate > | |
| ebl::resizepp_module< T, Tstate > | |
| ebl::rgb_to_hp_module< T, Tstate > | |
| ebl::rgb_to_rgbn_module< T, Tstate > | |
| ebl::rgb_to_y_module< T, Tstate > | Convert an RGB input into a Y channel |
| ebl::rgb_to_yn_module< T, Tstate > | |
| ebl::rgb_to_ynunvn_module< T, Tstate > | |
| ebl::rgb_to_ynuv_module< T, Tstate > | |
| ebl::rgb_to_ynuvn_module< T, Tstate > | |
| ebl::rgb_to_yuv_module< T, Tstate > | Convert an RGB input into a YUV output |
| ebl::rgb_to_yuvn_module< T, Tstate > | |
| ebl::s2m_module< T, Tin, Tout > | |
| ebl::scaler_answer< T, Tds1, Tds2, Tstate > | |
| ebl::scaler_energy< T, Tstate > | |
| ebl::scalerclass_answer< T, Tds1, Tds2, Tstate > | |
| ebl::scalerclass_energy< T, Tstate > | |
| ebl::smooth_shrink_module< T, Tstate > | |
| ebl::softmax< T, Tstate > | |
| ebl::state | |
| ebl::state_idxlooper< bbstate_idx< T > > | |
| ebl::state_idxlooper< bstate_idx< T > > | |
| ebl::state_idxlooper< fstate_idx< T > > | Fstate_idx iterator |
| ebl::stdsigmoid_module< T, Tstate > | |
| ebl::subsampling_layer< T, Tstate > | |
| ebl::subsampling_module< T, Tstate > | |
| ebl::subtractive_norm_module< T, Tstate > | |
| ebl::supervised_euclidean_machine< Tdata, Tlabel, Tstate > | |
| ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| svector | |
| ebl::table_module< T, Tstate > | This module connects inputs and outputs with a connection table |
| ebl::tanh_module< T, Tstate > | |
| ebl::tanh_shrink_module< T, Tstate > | |
| ebl::thres_module< T, Tstate > | |
| ebl::trainable_module< T, Tds1, Tds2, Tin1, Tin2, Ten > | |
| ebl::vote_answer< T, Tds1, Tds2, Tstate > | |
| ebl::voting_nms | A type of NMS that accumulates bounding boxes |
| ebl::wavg_pooling_module< T, Tstate > | |
| ebl::y_to_yp_module< T, Tstate > | |
| ebl::zpad_module< T, Tstate > | |
1.7.4