module Ai4cr::NeuralNetwork::Rnn::RnnSimpleConcerns::TrainAndAdjust
Direct including types
Defined in:
ai4cr/neural_network/rnn/rnn_simple_concerns/train_and_adjust.crInstance Method Summary
- #all_output_errors
- #calculate_error_distance
-
#error_stats : Ai4cr::ErrorStats
getter history_size : Int32 = 10 # Instead, refer to error_stats.history_size
- #final_li_output_error_distances
- #history_size
- #output_set_expected
- #train(input_set_given, output_set_expected, until_min_avg_error = UNTIL_MIN_AVG_ERROR_DEFAULT)
Instance Method Detail
def error_stats : Ai4cr::ErrorStats
#
getter history_size : Int32 = 10 # Instead, refer to error_stats.history_size
def train(input_set_given, output_set_expected, until_min_avg_error = UNTIL_MIN_AVG_ERROR_DEFAULT)
#