mvn clean install
cd target
java -jar NeuralNets-1.0-SNAPSHOT-jar-with-dependencies.jar learningRate=0.001 momentum=0.03 l1=0.00001 l2=0.002 batchSize=1 epochs=80 loss=SE optim=SGD init=Normal sizes=[72,36] activ=[Softsign,Softsign]
Presented parameters are default values. Parameters are space-separated.
Avaible functions: Optimization algorithms (optim): SDG - Stochastic Gradient Descend AdaGrad - Adaptive Gradient
Loss functions (loss): SE - Squared Error MSE - Mean Squared Error RMSE - Root Mean Square Error
Initialization (init): Uniform Normal
Activativation Functions (activ): Softsign Tanh Sigmoid
Arrays (sizes and activ) must have the same size.