Here is a list of all documented files with brief descriptions:

adaptive_moment_estimation.cpp
adaptive_moment_estimation.h
bounding_layer.cpp
bounding_layer.h
config.h
conjugate_gradient.cpp
conjugate_gradient.h
convolutional_layer.cpp
convolutional_layer.h
correlations.cpp
correlations.h
cross_entropy_error.cpp
cross_entropy_error.h
data_set.cpp
data_set.h
genetic_algorithm.cpp
genetic_algorithm.h
gradient_descent.cpp
gradient_descent.h
growing_inputs.cpp
growing_inputs.h
growing_neurons.cpp
growing_neurons.h
half.hpp
inputs_selection.cpp
inputs_selection.h
layer.cpp
layer.h
learning_rate_algorithm.cpp
learning_rate_algorithm.h
levenberg_marquardt_algorithm.cpp
levenberg_marquardt_algorithm.h
long_short_term_memory_layer.cpp
long_short_term_memory_layer.h
loss_index.cpp
loss_index.h
mean_squared_error.cpp
mean_squared_error.h
minkowski_error.cpp
minkowski_error.h
model_selection.cpp
model_selection.h
neural_network.cpp
neural_network.h
neurons_selection.cpp
neurons_selection.h
normalized_squared_error.cpp
normalized_squared_error.h
numerical_differentiation.cpp
numerical_differentiation.h
opennn.h
opennn_strings.cpp
opennn_strings.h
optimization_algorithm.cpp
optimization_algorithm.h
perceptron_layer.cpp
perceptron_layer.h
pooling_layer.cpp
pooling_layer.h
probabilistic_layer.cpp
probabilistic_layer.h
pruning_inputs.cpp
pruning_inputs.h
quasi_newton_method.cpp
quasi_newton_method.h
recurrent_layer.cpp
recurrent_layer.h
response_optimization.cpp
response_optimization.h
scaling.cpp
scaling.h
scaling_layer.cpp
scaling_layer.h
statistics.cpp
statistics.h
stochastic_gradient_descent.cpp
stochastic_gradient_descent.h
sum_squared_error.cpp
sum_squared_error.h
tensor_utilities.cpp
tensor_utilities.h
testing_analysis.cpp
testing_analysis.h
tinyxml2.cpp
tinyxml2.h
training_strategy.cpp
training_strategy.h
unit_testing.cpp
unit_testing.h
unscaling_layer.cpp
unscaling_layer.h
weighted_squared_error.cpp
weighted_squared_error.h