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 = 0.1, @deriv_scale = 0.01, @deriv_scale = 0.001,
-
#deriv_scale=(deriv_scale : Float64)
for Prelu TODO: set deriv_scale based on ? @deriv_scale = 0.1, @deriv_scale = 0.01, @deriv_scale = 0.001,
-
#eval(inputs_given)
steps for 'eval' aka 'guess':
-
#guesses_as_is
outputs_guessed in sorted/top/bottom/etc order
-
#guesses_best
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_style
- #learning_style=(learning_style)
- #load_inputs(inputs_given)
- #momentum : Float64
- #momentum=(momentum : Float64)
- #outputs_guessed
- #outputs_guessed=(outputs_guessed)
- #propagation_function
- #step_calc_forward
- #step_load_inputs(inputs_given)
- #validate_inputs(inputs, height_expected)
- #validate_outputs(outputs, width_expected)
- #weights
- #weights=(weights)
- #width
- #width_indexes
Instance Method Detail
def deriv_scale : Float64
#
for Prelu
TODO set deriv_scale based on ? @deriv_scale = 0.1, @deriv_scale = 0.01, @deriv_scale = 0.001,
def deriv_scale=(deriv_scale : Float64)
#
for Prelu
TODO set deriv_scale based on ? @deriv_scale = 0.1, @deriv_scale = 0.01, @deriv_scale = 0.001,