@myCNN

@myCNN\accumulate_ddeltas.m

@myCNN\adapt.m

@myCNN\adapt_deltas.m

@myCNN\adapt_LM.m

@myCNN\adapt_net.m

@myCNN\add_layer.m

@myCNN\average_ddeltas.m

@myCNN\backbackpropagate.m

@myCNN\backbackpropagate_C_layer.m

@myCNN\backbackpropagate_F_layer.m

@myCNN\backbackpropagate_M_layer.m

@myCNN\backbackpropagate_S_layer.m

@myCNN\backpropagate.m

@myCNN\backpropagate_C_layer.m

@myCNN\backpropagate_F_layer.m

@myCNN\backpropagate_M_layer.m

@myCNN\backpropagate_S_layer.m

@myCNN\compute_learning_rates.m

@myCNN\display.m

@myCNN\forget_ddeltas.m

@myCNN\forget_deltas.m

@myCNN\forget_derivatives.m

@myCNN\forget_second_derivatives.m

@myCNN\get_diag_Hessian.m

@myCNN\get_gradient.m

@myCNN\get_performance.m

@myCNN\get_trainable_parameters.m

@myCNN\init_net.m

@myCNN\load_lenet_from_lush_data.m

@myCNN\myCNN.m

@myCNN\private

@myCNN\private\create_lenet_structure_from_lush_data.m

@myCNN\private\draw_plots.m

@myCNN\private\dsquash.m

@myCNN\private\get_data_dir_on_host.m

@myCNN\private\get_projects_dir_on_host.m

@myCNN\private\host.m

@myCNN\private\log_it.m

@myCNN\private\oversample2.m

@myCNN\private\prepare_lenet_test_set.m

@myCNN\private\read_idx_data.m

@myCNN\private\read_lush_array.m

@myCNN\private\soft_max.m

@myCNN\private\squash.m

@myCNN\private\squash_and_dsquash.m

@myCNN\private\subsample2.m

@myCNN\private\unfold.m

@myCNN\private\unfold2.m

@myCNN\propagate.m

@myCNN\propagate_C_layer.m

@myCNN\propagate_F_layer.m

@myCNN\propagate_M_layer.m

@myCNN\propagate_one_sample.m

@myCNN\propagate_S_layer.m

@myCNN\set_FM.m

@myCNN\set_global_learning_rate.m

@myCNN\set_momentum.m

@myCNN\sim.m

@myCNN\subsref.m

@myCNN\tag2ind.m

@myCNN\train_LM.m

@myCNN\update_stat.m

@single

@single\qdsquash.m

@single\qdsquash_from_squash.m

@single\qsquash.m

@single\qsquash_and_dsquash.m

@single\qtanh.m

ChangeLog

contents.m

demo_myCNN.m

example_LeNet5_SDLM_training.m

example_myLeNet5_SDLM_training.m

example_nonscalar_output_CNN.m

get_MNIST_data.m

mnist2matlab.m

newLeNet5.m

newMyLeNet5.m

myLeNet5-example.mat