training deep leaning models self relu nn relu(self out nn linear( self final nn sigmoid(self drop nn dropout( #dropout layer def forward(selfx)op self drop( #dropout for input layer op self fc (opop self relu(opop self drop(op#dropout for hidden layer op self fc (opop self relu(opop self drop(op#dropout for hidden layer op self fc (opop self relu(opop self drop(op#dropout for hidden layer op self out(opy self final(opreturn num_epochs batch_size weight_decay= #set to no reg 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 model