public Model()
{
float[,] aX = LoadCsv("dataX.csv");
float[,] aY = LoadCsv("dataY.csv");
_dataX = new TFTensor(aX);
_dataY = new TFTensor(aY);
_session = new TFSession();
_graph = _session.Graph;
_input = _graph.Placeholder(TFDataType.Float);
_output = _graph.Placeholder(TFDataType.Float);
_y_out = new LinearLayer(_graph, _input, (int)_dataX.Shape[0], 1);
cost = _graph.ReduceMean(_graph.SigmoidCrossEntropyWithLogits(_y_out.Result, _output));
_gradientDescentOptimizer = new GradientDescentOptimizer(_graph, _cost, _y_out.W, _y_out.b);
_gradientDescentOptimizer.ApplyGradientDescent(_graph);
var runner = _session.GetRunner();
runner.AddTarget(_y_out.InitB.Operation);
runner.Run();
}
