class SHAInet::ConvLayer

• SHAInet::ConvLayer
• Reference
• Object

Defined in:

shainet/cnn/conv_layer.cr

Constant Summary

Log = ::Log.for(self)

Constructors

• .new(master_network : CNN, prev_layer : ConvLayer | CNNLayer, filters_num : Int32 = 1, window_size : Int32 = 1, stride : Int32 = 1, padding : Int32 = 0, activation_function : ActivationFunction = SHAInet.none)

Instance Method Summary

• #activate

  Use each filter to create feature maps from the input data of the previous layer

• #activation_function : ActivationFunction
• #error_prop(batch : Bool = false)
• #filters : Array(Filter)
• #inspect(what : String)
• #master_network : CNN
• #padding : Int32
• #prev_layer : CNNLayer | ConvLayer
• #stride : Int32
• #update_wb(learn_type : Symbol | String, batch : Bool = false)
• #window_size : Int32

Constructor Detail

Instance Method Detail