module Ai4cr::NeuralNetwork::Rnn::RnnSimpleConcerns::PropsAndInits

Direct including types

• Ai4cr::NeuralNetwork::Rnn::RnnSimple

Defined in:

Constant Summary

HIDDEN_LAYER_QTY_MIN = 1

HIDDEN_SIZE_GIVEN_MIN = INPUT_SIZE_MIN + OUTPUT_SIZE_MIN

INPUT_SIZE_MIN = 2

IO_OFFSET_DEFAULT = 1

OUTPUT_SIZE_MIN = 1

TIME_COL_QTY_MIN = 2

Constructors

• .new(io_offset = IO_OFFSET_DEFAULT, time_col_qty = TIME_COL_QTY_MIN, input_size = INPUT_SIZE_MIN, output_size = OUTPUT_SIZE_MIN, hidden_layer_qty = HIDDEN_LAYER_QTY_MIN, hidden_size_given = nil, disable_bias : Bool | Nil = nil, bias_default = 1.0, learning_style : LearningStyle = LS_RELU, learning_rate : Float64 | Nil = nil, momentum : Float64 | Nil = nil, deriv_scale : Float64 | Nil = nil, history_size : Int32 | Nil = 10, name : String | Nil = nil)

Instance Method Summary

• #calc_node_input_sizes
• #calc_node_output_sizes
• #calc_synaptic_layer_indexes
• #calc_time_col_indexes
• #config
• #init_mini_net_set
• #init_network(hidden_size_given : Int32 | Nil = 10, disable_bias : Bool | Nil = nil, learning_rate : Float64 | Nil = nil, momentum : Float64 | Nil = nil, deriv_scale : Float64 | Nil = nil, history_size : Int32 | Nil = 10)
• #init_network_config(hidden_size_given : Int32 | Nil = 10, disable_bias : Bool | Nil = nil, learning_rate : Float64 | Nil = nil, momentum : Float64 | Nil = nil, deriv_scale : Float64 | Nil = nil)
• #init_network_mini_net_set
• #valid?
• #validate!

Constructor Detail

Instance Method Detail