public TrainingEpochTester <TTrainingMethod> ExpectNeuralNetworkState(Action <NeuralNetworkAssertor.Builder> action)
{
var builder = new NeuralNetworkAssertor.Builder();
action.Invoke(builder);
neuralNetworkAssertor = builder.Build();
return(this);
}
public void CanAssertNeuralNetworkSuccess()
{
var neuralNetwork = ExplicitNeuralNetworkBuilder
.CreateForTest(NeuralNetworkContext.MaximumPrecision, PredictableRandomNumberGenerator.Create())
.InputLayer(l => l.Neurons(
n => n.Id(1).ErrorGradient(1).Output(1).Activation(ActivationType.Sigmoid),
n => n.Id(2).ErrorGradient(1).Output(1).Activation(ActivationType.Sigmoid)))
.HiddenLayer(l => l.Neurons(
n => n.Id(3).ErrorGradient(2).Output(2).Activation(ActivationType.Sigmoid),
n => n.Id(4).ErrorGradient(2).Output(2).Activation(ActivationType.Sigmoid)))
.OutputLayer(l => l.Neurons(
n => n.Id(5).ErrorGradient(3).Output(3).Activation(ActivationType.Sigmoid),
n => n.Id(6).ErrorGradient(3).Output(3).Activation(ActivationType.Sigmoid)))
.Synapses(
s => s.SynapseBetween(inputNeuronId: 1, outputNeuronId: 3, weight: 1),
s => s.SynapseBetween(inputNeuronId: 1, outputNeuronId: 4, weight: 1),
s => s.SynapseBetween(inputNeuronId: 2, outputNeuronId: 3, weight: 1),
s => s.SynapseBetween(inputNeuronId: 2, outputNeuronId: 4, weight: 1),
s => s.SynapseBetween(inputNeuronId: 3, outputNeuronId: 5, weight: 2),
s => s.SynapseBetween(inputNeuronId: 3, outputNeuronId: 6, weight: 2),
s => s.SynapseBetween(inputNeuronId: 4, outputNeuronId: 5, weight: 2),
s => s.SynapseBetween(inputNeuronId: 4, outputNeuronId: 6, weight: 2))
.Build();
var neuralNetworkAssertor = new NeuralNetworkAssertor.Builder()
.InputLayer(l => l.Neurons(
n => n.Id(1).Output(1).ErrorGradient(1).OutputSynapses(
s => s.OutputNeuronId(3).Weight(1),
s => s.OutputNeuronId(4).Weight(1)),
n => n.Id(2).Output(1).ErrorGradient(1).OutputSynapses(
s => s.OutputNeuronId(3).Weight(1),
s => s.OutputNeuronId(4).Weight(1))))
.HiddenLayers(l => l.Neurons(
n => n
.Id(3).Output(2).ErrorGradient(2)
.InputSynapses(
s => s.InputNeuronId(1).Weight(1),
s => s.InputNeuronId(2).Weight(1))
.OutputSynapses(
s => s.OutputNeuronId(5).Weight(2),
s => s.OutputNeuronId(6).Weight(2)),
n => n
.Id(4).Output(2).ErrorGradient(2)
.InputSynapses(
s => s.InputNeuronId(1).Weight(1),
s => s.InputNeuronId(2).Weight(1))
.OutputSynapses(
s => s.OutputNeuronId(5).Weight(2),
s => s.OutputNeuronId(6).Weight(2))))
.OutputLayer(l => l.Neurons(
n => n.Id(5).Output(3).ErrorGradient(3).InputSynapses(
s => s.InputNeuronId(3).Weight(2),
s => s.InputNeuronId(4).Weight(2)),
n => n.Id(6).Output(3).ErrorGradient(3).InputSynapses(
s => s.InputNeuronId(3).Weight(2),
s => s.InputNeuronId(4).Weight(2))))
.Build();
neuralNetworkAssertor.Assert(neuralNetwork);
}