public void Think_CausesEachNeuronInLayerToThink()
{
Layer layer = new Layer(numberOfNeurons: 2);
// Give each neuron one input and one output.
layer.Neurons[0].Inputs.Add(new Synapse { Weight = 1, Value = 4 });
layer.Neurons[1].Inputs.Add(new Synapse { Weight = 2, Value = 3 });
layer.Neurons[0].Outputs.Add(new Synapse());
layer.Neurons[1].Outputs.Add(new Synapse());
// Reset the biases since we know they are randomized, and we want to disregard them.
layer.Neurons[0].Bias = layer.Neurons[1].Bias = 0;
// Execute the code to test.
layer.Think();
// Validate that each neuron sets the value for its output.
// -4 is the sum of the neurons bias and all its inputs weights times their value.
Assert.AreEqual(
1 / (1 + Math.Pow(Math.E, -4)),
layer.Neurons[0].Outputs[0].Value,
"First neuron output");
// -6 is the sum of the neurons bias and all its inputs weights times their value.
Assert.AreEqual(
1 / (1 + Math.Pow(Math.E, -6)),
layer.Neurons[1].Outputs[0].Value,
"Second neuron output");
}