training deep leaning models #define training variables num_epochs batch_size loss_function nn bceloss(#binary crosss entropy loss #hyperparameters weight_decay= #set to no regularizerpassed into the optimizer lambda_l = #set to no regmanually added in loss (train_network#create model instance model neuralnetwork(#define optimizer adam_optimizer tch optim adam(model parameters()lr weight_decay=weight_decay#train model adam_loss train_network(model,adam_optimizer,loss_function ,num_epochs,batch_sizex_train,y_train,lambda_ = #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: