Class: DNN::Layers::GRU

Inherits:
RNN show all
Defined in:
lib/dnn/core/rnn_layers.rb

Instance Attribute Summary

Attributes inherited from RNN

#num_nodes, #return_sequences, #stateful

Attributes inherited from Connection

#bias_initializer, #l1_lambda, #l2_lambda, #weight_initializer

Attributes inherited from HasParamLayer

#params, #trainable

Attributes inherited from Layer

#input_shape

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from RNN

#backward, #forward, #output_shape, #regularizers, #reset_state, #to_hash

Methods inherited from Connection

#regularizers, #to_hash, #use_bias

Methods inherited from HasParamLayer

#build, #update

Methods inherited from Layer

#backward, #build, #built?, #forward, #output_shape, #to_hash

Constructor Details

#initialize(num_nodes, stateful: false, return_sequences: true, weight_initializer: RandomNormal.new, bias_initializer: Zeros.new, l1_lambda: 0, l2_lambda: 0, use_bias: true) ⇒ GRU

Returns a new instance of GRU.



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# File 'lib/dnn/core/rnn_layers.rb', line 410

def initialize(num_nodes,
               stateful: false,
               return_sequences: true,
               weight_initializer: RandomNormal.new,
               bias_initializer: Zeros.new,
               l1_lambda: 0,
               l2_lambda: 0,
               use_bias: true)
  super
end

Class Method Details

.load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/rnn_layers.rb', line 398

def self.load_hash(hash)
  gru = self.new(hash[:num_nodes],
                 stateful: hash[:stateful],
                 return_sequences: hash[:return_sequences],
                 weight_initializer: Utils.load_hash(hash[:weight_initializer]),
                 bias_initializer: Utils.load_hash(hash[:bias_initializer]),
                 l1_lambda: hash[:l1_lambda],
                 l2_lambda: hash[:l2_lambda],
                 use_bias: hash[:use_bias])
  gru
end