class SHAInet::SoftmaxLayer

• SHAInet::SoftmaxLayer
• Reference
• Object

Defined in:

shainet/cnn/softmax_layer.cr

Constant Summary

Log = ::Log.for(self)

Constructors

• .new(prev_layer : FullyConnectedLayer | ReluLayer, range : Range(Int32, Int32) = (0..-1))

Instance Method Summary

• #activate
• #all_neurons : Array(SHAInet::Neuron)
• #error_prop(batch : Bool = false)

  Send the gradients from current layer backwards without weights

• #filters : Array(Filter)
• #inspect(what : String)
• #output : Array(Float64)
• #prev_layer : FullyConnectedLayer | ReluLayer
• #update_wb(learn_type : Symbol | String, batch : Bool = false)

Constructor Detail

Instance Method Detail