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(); }