public static NeuralNetwork NeuralNetworkForPracticeFour()
{
var weightGenerator = new DelimitedRandom(-1, 1);
var thresholdGenerator = new DelimitedRandom(-1, 1);
return new NeuralNetworkBuilder(new ConnectionProperties(weightGenerator),
new PerceptronProperties(thresholdGenerator),
new AcceptanceMatcher(-0.049, 0.049))
.WithLayer(1).From(784).To(98)
.WithLayer(2).From(98).To(1)
.Build();
}
public void return_n5_when_bewteen_n5_and_n5()
{
var delimitedRandom = new DelimitedRandom(-5, -5);
delimitedRandom.Generate().Should().Be(-5.0);
}
public void return_5_when_bewteen_5_and_5()
{
var delimitedRandom = new DelimitedRandom(5, 5);
delimitedRandom.Generate().Should().Be(5.0);
}
public void return_0_when_delimited_between_0_and_0()
{
var delimitedRandom = new DelimitedRandom(0, 0);
delimitedRandom.Generate().Should().Be(0.0);
}