Here is a list of all functions, variables, defines, enums, and typedefs with links to the files they belong to:
- c -
- calc_approx_derivative() : calc.h
- calc_approx_finite_integral() : calc.h
- calc_function : calc.h
- calc_function_fn : calc.h
- calc_function_negation() : calc.h
- CALC_FUNCTION_NEGATION : calc.h
- calc_function_negation_derivative() : calc.h
- CALC_FUNCTION_RELU : calc.h
- calc_function_relu() : calc.h
- calc_function_relu_derivative() : calc.h
- CALC_FUNCTION_SIGMOID : calc.h
- calc_function_sigmoid() : calc.h
- calc_function_sigmoid_derivative() : calc.h
- CALC_FUNCTION_SQUARE : calc.h
- calc_function_square() : calc.h
- calc_function_square_derivative() : calc.h
- CALC_FUNCTION_TANH : calc.h
- calc_function_tanh() : calc.h
- calc_function_tanh_derivative() : calc.h
- compare_ints() : data.h
- d -
- data : data.h
- data_free() : data.h
- data_mix_training_indices() : data.h
- data_print_features() : data.h
- data_print_instances() : data.h
- data_print_scaled_instances() : data.h
- data_print_target_indices() : data.h
- data_print_targets() : data.h
- data_print_test_indices() : data.h
- data_print_train_indices() : data.h
- data_read_from_csv() : data.h
- data_sort_training_indices() : data.h
- l -
- la_matrix : la.h
- la_matrix_add() : la.h
- la_matrix_alloc() : la.h
- la_matrix_apply_function() : la.h
- la_matrix_copy() : la.h
- la_matrix_element : la.h
- la_matrix_fill() : la.h
- la_matrix_fprint() : la.h
- la_matrix_fprint_simul() : la.h
- la_matrix_free() : la.h
- la_matrix_get_max_index() : la.h
- la_matrix_get_min_index() : la.h
- la_matrix_multiply() : la.h
- la_matrix_multiply_by_const() : la.h
- la_matrix_print : la.h
- la_matrix_rand() : la.h
- la_matrix_subtract() : la.h
- la_matrix_sum() : la.h
- la_matrix_sum_rows() : la.h
- la_matrix_T_copy() : la.h
- la_submatrix() : la.h
- n -
- nn_alloc() : nn.h
- nn_backpropagation() : nn.h
- nn_calculate_cost() : nn.h
- nn_fit() : nn.h
- nn_forward() : nn.h
- nn_fprint() : nn.h
- nn_neural_network : nn.h
- nn_output : nn.h
- nn_update_weights() : nn.h
- p -
