Lightweight Neural Network++ documentation
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Class Members
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Variables
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Related Functions
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b
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c
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d
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e
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f
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g
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i
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j
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l
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n
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o
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p
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r
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s
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t
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u
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v
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w
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~
- a -
allocate_and_load() :
iomanage
allocate_data() :
iomanage
- b -
begin_batch() :
network
begin_ssab() :
network
- c -
certificate() :
trainer
check() :
trainer
clear() :
trainer
compute() :
network
compute_average_error() :
network
compute_max_error() :
network
compute_output_error() :
network
compute_quadratic_error() :
network
continue_training() :
trainer
convert() :
iomanagebinary
count_weights() :
network
- d -
destroy() :
iomanage
- e -
end_batch() :
network
end_batch_ssab() :
network
- f -
free_ssab() :
network
friendly_print() :
network
- g -
get_accuracy_filename() :
trainer
get_accuracy_mode() :
trainer
get_accuracy_on_certification() :
trainer
get_accuracy_on_training() :
trainer
get_accuracy_on_validation() :
trainer
get_activation() :
network
get_best_epoch() :
trainer
get_best_error() :
trainer
get_best_net() :
trainer
get_current_epoch() :
trainer
get_epochs_checking_error() :
trainer
get_epochs_report() :
trainer
get_error_filename() :
trainer
get_error_on_certification() :
trainer
get_error_on_training() :
trainer
get_error_on_validation() :
trainer
get_iomanager() :
trainer
get_learning_rate() :
network
get_max_epochs() :
trainer
get_max_learning_rate() :
network
get_min_error() :
trainer
get_min_learning_rate() :
network
get_momentum() :
network
get_network() :
trainer
get_no_of_inputs() :
trainer
,
network
get_no_of_layers() :
network
get_no_of_neurons() :
network
get_no_of_outputs() :
trainer
,
network
get_no_of_patterns() :
network
get_output_error() :
network
get_ssab_down_factor() :
network
get_ssab_up_factor() :
network
get_stop_on_overfit() :
trainer
get_stopping_cause() :
trainer
get_stopping_cause_string() :
trainer
get_training_validation() :
trainer
get_wanted_accuracy() :
trainer
get_weight() :
network
- i -
info_from_file() :
iomanagelwnnfann
,
iomanagebinary
,
iomanage
info_from_file_fann() :
iomanagelwnnfann
info_from_file_lwnn() :
iomanagelwnnfann
iomanagebinary() :
iomanagebinary
iomanagelwnnfann() :
iomanagelwnnfann
is_ssab_active() :
network
- j -
jolt() :
network
- l -
load() :
network
load_certification() :
trainer
load_patterns() :
iomanagelwnnfann
,
iomanagebinary
,
iomanage
load_patterns_fann() :
iomanagelwnnfann
load_patterns_lwnn() :
iomanagelwnnfann
load_ssab() :
network
load_training() :
trainer
load_validation() :
trainer
- n -
network() :
network
- o -
operator=() :
trainer
,
network
operator[]() :
shuffle
- p -
print() :
network
print_input() :
trainer
print_output() :
trainer
- r -
randomize() :
network
redo() :
shuffle
reset_ssab() :
network
- s -
save() :
network
save_ssab() :
network
set_accuracy_filename() :
trainer
set_accuracy_mode() :
trainer
set_activation() :
network
set_best_epoch() :
trainer
set_best_error_on_validation() :
trainer
set_best_net() :
trainer
set_epochs_checking_error() :
trainer
set_epochs_report() :
trainer
set_error_filename() :
trainer
set_iomanager() :
trainer
set_learning_rate() :
network
set_max_epochs() :
trainer
set_max_learning_rate() :
network
set_min_error() :
trainer
set_min_learning_rate() :
network
set_momentum() :
network
set_network() :
trainer
set_network_best() :
trainer
set_ssab_down_factor() :
network
set_ssab_up_factor() :
network
set_stop_on_overfit() :
trainer
set_stopping_cause() :
trainer
set_training_validation() :
trainer
set_wanted_accuracy() :
trainer
show_results() :
trainer
shuffle() :
shuffle
size() :
shuffle
ssab_print_nus() :
network
ssab_stats() :
network
start_at_epoch() :
trainer
- t -
test() :
trainer
textload() :
network
textsave() :
network
train() :
trainer
,
network
train_batch() :
trainer
,
network
train_online() :
trainer
train_shuffle() :
trainer
train_ssab() :
trainer
,
network
trainer() :
trainer
- u -
using_best_net() :
trainer
- v -
validate() :
trainer
- w -
write_patterns() :
iomanagebinary
- ~ -
~network() :
network
~trainer() :
trainer
Generated on Tue Oct 12 00:32:11 2004 for Lightweight Neural Network ++ by
1.3.9