Class: DNN::Layers::SimpleRNN

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

Instance Attribute Summary collapse

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

Methods inherited from Connection

#regularizers, #use_bias

Methods inherited from HasParamLayer

#build, #update

Methods inherited from Layer

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

Constructor Details

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

Returns a new instance of SimpleRNN.



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# File 'lib/dnn/core/rnn_layers.rb', line 153

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

Instance Attribute Details

#activation ⇒ Object (readonly)

Returns the value of attribute activation.



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# File 'lib/dnn/core/rnn_layers.rb', line 138

def activation
  @activation
end

Class Method Details

.load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/rnn_layers.rb', line 140

def self.load_hash(hash)
  simple_rnn = self.new(hash[:num_nodes],
                        stateful: hash[:stateful],
                        return_sequences: hash[:return_sequences],
                        activation: Utils.load_hash(hash[:activation]),
                        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])
  simple_rnn
end

Instance Method Details

#to_hash ⇒ Object 



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# File 'lib/dnn/core/rnn_layers.rb', line 173

def to_hash
  super({activation: @activation.to_hash})
end