openNN-v5.0.5【无需积分值】

[{"title":"（ 47 个子文件 5.18MB ） openNN-v5.0.5【无需积分值】","children":[{"title":"openNN","children":[{"title":"include","children":[{"title":"learning_rate_algorithm.h <span style='color:#111;'> 9.35KB </span>","children":null,"spread":false},{"title":"perceptron_layer.h <span style='color:#111;'> 8.17KB </span>","children":null,"spread":false},{"title":"probabilistic_layer.h <span style='color:#111;'> 7.16KB </span>","children":null,"spread":false},{"title":"config.h <span style='color:#111;'> 712B </span>","children":null,"spread":false},{"title":"inputs_selection.h <span style='color:#111;'> 7.64KB </span>","children":null,"spread":false},{"title":"loss_index.h <span style='color:#111;'> 12.34KB </span>","children":null,"spread":false},{"title":"convolutional_layer.h <span style='color:#111;'> 7.46KB </span>","children":null,"spread":false},{"title":"gradient_descent.h <span style='color:#111;'> 7.07KB </span>","children":null,"spread":false},{"title":"scaling_layer.h <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"cross_entropy_error.h <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false},{"title":"conjugate_gradient.h <span style='color:#111;'> 7.62KB </span>","children":null,"spread":false},{"title":"pooling_layer.h <span style='color:#111;'> 4.94KB </span>","children":null,"spread":false},{"title":"bounding_layer.h <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"quasi_newton_method.h <span style='color:#111;'> 9.83KB </span>","children":null,"spread":false},{"title":"levenberg_marquardt_algorithm.h <span style='color:#111;'> 7.84KB </span>","children":null,"spread":false},{"title":"unscaling_layer.h <span style='color:#111;'> 4.49KB </span>","children":null,"spread":false},{"title":"growing_neurons.h <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"recurrent_layer.h <span style='color:#111;'> 6.70KB </span>","children":null,"spread":false},{"title":"minkowski_error.h <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"sum_squared_error.h <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"mean_squared_error.h <span style='color:#111;'> 3.09KB </span>","children":null,"spread":false},{"title":"principal_components_layer.h <span style='color:#111;'> 4.58KB </span>","children":null,"spread":false},{"title":"correlations.h <span style='color:#111;'> 8.26KB </span>","children":null,"spread":false},{"title":"neural_network.h <span style='color:#111;'> 11.00KB </span>","children":null,"spread":false},{"title":"normalized_squared_error.h <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"unit_testing.h <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"opennn.h <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"stochastic_gradient_descent.h <span style='color:#111;'> 6.53KB </span>","children":null,"spread":false},{"title":"optimization_algorithm.h <span style='color:#111;'> 8.02KB </span>","children":null,"spread":false},{"title":"opennn_strings.h <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"weighted_squared_error.h <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"neurons_selection.h <span style='color:#111;'> 6.94KB </span>","children":null,"spread":false},{"title":"long_short_term_memory_layer.h <span style='color:#111;'> 19.82KB </span>","children":null,"spread":false},{"title":"adaptive_moment_estimation.h <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"testing_analysis.h <span style='color:#111;'> 12.31KB </span>","children":null,"spread":false},{"title":"model_selection.h <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"layer.h <span style='color:#111;'> 15.69KB </span>","children":null,"spread":false},{"title":"statistics.h <span style='color:#111;'> 8.87KB </span>","children":null,"spread":false},{"title":"tinyxml2.h <span style='color:#111;'> 67.10KB </span>","children":null,"spread":false},{"title":"growing_inputs.h <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false},{"title":"genetic_algorithm.h <span style='color:#111;'> 8.72KB </span>","children":null,"spread":false},{"title":"pruning_inputs.h <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"data_set.h <span style='color:#111;'> 27.18KB </span>","children":null,"spread":false},{"title":"response_optimization.h <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"training_strategy.h <span style='color:#111;'> 7.54KB </span>","children":null,"spread":false},{"title":"numerical_differentiation.h <span style='color:#111;'> 123.49KB </span>","children":null,"spread":false}],"spread":false},{"title":"lib","children":[{"title":"opennn.lib <span style='color:#111;'> 47.48MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]