Instance methods inherited from module Ai4cr::NeuralNetwork::Cmn::MiniNetConcerns::TrainAndAdjust

calculate_error_distance calculate_error_distance, derivative_propagation_function derivative_propagation_function, guesses_best guesses_best, init_net_re_train init_net_re_train, input_deltas input_deltas, input_deltas=(input_deltas) input_deltas=, last_changes last_changes, last_changes=(last_changes) last_changes=, load_outputs_deltas(outputs_deltas) load_outputs_deltas, load_outputs_expected(outputs_expected) load_outputs_expected, output_deltas output_deltas, output_deltas=(output_deltas) output_deltas=, output_errors output_errors, output_errors=(output_errors) output_errors=, outputs_expected outputs_expected, outputs_expected=(outputs_expected) outputs_expected=, set_deriv_scale_prelu(scale) set_deriv_scale_prelu, step_backpropagate step_backpropagate, step_calc_input_deltas step_calc_input_deltas, step_calc_output_errors step_calc_output_errors, step_calculate_output_deltas step_calculate_output_deltas, step_load_chained_outputs_deltas(outputs_deltas) step_load_chained_outputs_deltas, step_load_outputs(outputs_expected) step_load_outputs, step_update_weights(parallel = false) step_update_weights, step_update_weights_v1 step_update_weights_v1, step_update_weights_v2 step_update_weights_v2, train(inputs_given, outputs_expected, until_min_avg_error = UNTIL_MIN_AVG_ERROR_DEFAULT) train

Instance methods inherited from module Ai4cr::NeuralNetwork::Cmn::MiniNetConcerns::CalcGuess

bias_default bias_default, bias_default=(bias_default) bias_default=, bias_disabled bias_disabled, bias_disabled=(bias_disabled) bias_disabled=, deriv_scale : Float64 deriv_scale, deriv_scale=(deriv_scale : Float64) deriv_scale=, eval(inputs_given) eval, guesses_as_is guesses_as_is, guesses_best guesses_best, guesses_bottom_n(n = @outputs_guessed.size) guesses_bottom_n, guesses_ceiled guesses_ceiled, guesses_rounded guesses_rounded, guesses_sorted guesses_sorted, guesses_top_n(n = @outputs_guessed.size) guesses_top_n, height height, height_considering_bias height_considering_bias, height_indexes height_indexes, init_net_re_guess init_net_re_guess, init_net_re_structure init_net_re_structure, inputs_given inputs_given, inputs_given=(inputs_given) inputs_given=, learning_rate : Float64 learning_rate, learning_rate=(learning_rate : Float64) learning_rate=, learning_styles learning_styles, learning_styles=(learning_styles) learning_styles=, load_inputs(inputs_given) load_inputs, momentum : Float64 momentum, momentum=(momentum : Float64) momentum=, outputs_guessed outputs_guessed, outputs_guessed=(outputs_guessed) outputs_guessed=, propagation_function propagation_function, step_calc_forward step_calc_forward, step_load_inputs(inputs_given) step_load_inputs, validate_inputs(inputs, height_expected) validate_inputs, validate_outputs(outputs, width_expected) validate_outputs, weight_init_scale : Float64 weight_init_scale, weight_init_scale=(weight_init_scale : Float64) weight_init_scale=, weights weights, weights=(weights) weights=, width width, width_indexes width_indexes

Instance methods inherited from module Ai4cr::NeuralNetwork::Cmn::MiniNetConcerns::PropsAndInits

config config, init_network init_network, structure structure

Constructor methods inherited from module Ai4cr::NeuralNetwork::Cmn::MiniNetConcerns::PropsAndInits

new(height = 2, width = 2, learning_styles : LearningStyle = LEARNING_STYLES_DEFAULT, deriv_scale = Ai4cr::Utils::Rand.rand_excluding(scale: 0.5), bias_disabled = false, bias_default = 1.0, learning_rate : Float64 | Nil = nil, momentum : Float64 | Nil = nil, history_size : Int32 = 10, name : String | Nil = "", weight_init_scale = 1.0) new

Instance methods inherited from module Ai4cr::Breed::Client

birth_id : Int32 birth_id, birth_id=(birth_id : Int32) birth_id=, breed_delta : Float64 breed_delta, breed_delta=(breed_delta : Float64) breed_delta=, clone clone, error_hist_stats(in_bw = false) error_hist_stats, error_stats error_stats, error_stats=(error_stats) error_stats=, history_size history_size, name : String name, name=(name : String) name=, parent_a_id : Int32 parent_a_id, parent_a_id=(parent_a_id : Int32) parent_a_id=, parent_b_id : Int32 parent_b_id, parent_b_id=(parent_b_id : Int32) parent_b_id=