public ArrayList<Weights> train(){
        if(tensorFlowInferenceInterface!=null){
            byte[] def = tensorFlowInferenceInterface.graph().toGraphDef();
            try(Graph graph = new Graph();
                Session session = new Session(graph);){
                graph.importGraphDef(def);
                session.runner().addTarget("init").run();
                Random random = new Random();
                for(int i = 1; i<=7; i++){
                    for(int n = 0; n < 500; n++){
                        float in = random.nextFloat();
                        try(Tensor<Float> input = Tensors.create(in);
                            Tensor<Float> target = Tensors.create(m*in + c);
                        ){
                            session.runner().feed("input", input)
                                            .feed("target", target)
                                            .addTarget("train")
                                            .run();
                        }
                    }
                    weights.add(getVariables(session, i));
                }
            }
        }
        Log.d("Weights:", weights+"");
        return weights;
    }