training deep leaning models listing - regularization # regularization num_epochs batch_size weight_decay= #enables regularization lambda_l #set to no reg model neuralnetwork(loss_function nn bceloss(#binary crosss entropy loss adam_optimizer tch optim adam(model parameters(),lr weight_decay=weight_decay#train network adam_loss train_network(model,adam_optimizer,loss_functionnum_epochs,batch_size,x_train,y_train,lambda_l =lambda_l #evaluate model evaluate_model(model,x_test,y_test,x_train,y_train,adam_lossout[]epoch loss: epoch loss: epoch loss: epoch loss: epoch loss: model performance training accuracy training precision training recall training rocauc