module Ai4cr::NeuralNetwork::Cmn::MiniNetConcerns::CalcGuess
Direct including types
Defined in:
ai4cr/neural_network/cmn/mini_net_concerns/calc_guess.crInstance Method Summary
- #bias_default
- #bias_default=(bias_default)
- #bias_disabled
- #bias_disabled=(bias_disabled)
-
#deriv_scale : Float64
for Prelu TODO: set deriv_scale based on ?
-
#deriv_scale=(deriv_scale : Float64)
for Prelu TODO: set deriv_scale based on ?
-
#eval(inputs_given)
steps for 'eval' aka 'guess':
- #guesses_as_is
-
#guesses_best
misc guesses*
- #guesses_bottom_n(n = @outputs_guessed.size)
- #guesses_ceiled
- #guesses_rounded
- #guesses_sorted
- #guesses_top_n(n = @outputs_guessed.size)
- #height
- #height_considering_bias
- #height_indexes
- #init_net_re_guess
- #init_net_re_structure
- #inputs_given
- #inputs_given=(inputs_given)
- #learning_rate : Float64
- #learning_rate=(learning_rate : Float64)
- #learning_styles
- #learning_styles=(learning_styles)
- #load_inputs(inputs_given)
- #momentum : Float64
- #momentum=(momentum : Float64)
- #outputs_guessed
- #outputs_guessed=(outputs_guessed)
-
#propagation_function
ameba:disable Metrics/CyclomaticComplexity
- #step_calc_forward
- #step_load_inputs(inputs_given)
- #validate_inputs(inputs, height_expected)
- #validate_outputs(outputs, width_expected)
- #weight_init_scale : Float64
- #weight_init_scale=(weight_init_scale : Float64)
- #weights
- #weights=(weights)
- #width
- #width_indexes