public void ProducesHighLossForIncorrectCases()
{
var graph = new TFGraph();
var context = new ModelCompilationContext(graph);
var output = graph.Const(new[] { new[] { 0.0, 0.1 } });
var targets = graph.Const(new[] { new[] { 1.0, 0.0 } });
var loss = new NegativeLogLikelihood();
var lossFunction = loss.Compile(context, output, targets);
using (var session = new TFSession(graph))
{
var error = session.GetRunner().Run(lossFunction);
Math.Round((double)error.GetValue(), 2).Should().Be(16.12);
}
}
public void CanBeOptimized()
{
var graph = new TFGraph();
var context = new ModelCompilationContext(graph);
var input = new Input(new long[] { 10 }, name: "Input0");
var output = new Dense(2, input, name: "Dense0");
var compiledOutput = output.Compile(context);
var loss = new NegativeLogLikelihood();
var compiledLoss = loss.Compile(context, compiledOutput,
context.Graph.Placeholder(TFDataType.Double, new TFShape(-1, 2)));
var gradients = graph.AddGradients(
new[] { compiledLoss },
context.Parameters.ToArray());
}
