public static void Run()
{
var neuron1 = new Neuron()
{
Value = 2.3f
};
var neuron2 = new Neuron()
{
Value = 0.3f
};
var neuronLayer1 = new NeuronLayer();
var neuronLayer2 = new NeuronLayer();
neuronLayer1.Add(new Neuron()
{
Value = 0.54f
});
neuronLayer2.Add(new Neuron()
{
Value = 1.3f
});
neuronLayer2.Add(new Neuron()
{
Value = 4.6f
});
// 1
neuron1.ConnectTo(neuron2);
// 2
neuronLayer1.ConnectTo(neuron1);
// 3
neuron2.ConnectTo(neuronLayer1);
// 4
neuronLayer1.ConnectTo(neuronLayer2);
}
static void Main(string[] args)
{
//var drawing = new GraphicObjects();
//drawing.Name = "My Drawing";
////single addition
//drawing.Children.Add(new Square{Color = "Red"});
//drawing.Children.Add(new Circle{Color = "Blue"});
////collection addition
//var group = new GraphicObjects();
//group.Children.Add(new Circle{Color = "Green"});
//group.Children.Add(new Square{Color = "Yelllow"});
//drawing.Children.Add(group);
//Console.WriteLine(drawing);
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2);
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
public void BasicTest()
{
var neuron1 = new Neuron(0.1f);
var neuron2 = new Neuron(0.2f);
var neuron3 = new Neuron(0.3f);
var neuron4 = new Neuron(0.4f);
var neuron5 = new Neuron(0.5f);
var neuron6 = new Neuron(0.6f);
neuron1.ConnectTo(neuron2);
var layer1 = new NeuronLayer();
layer1.Add(neuron3);
layer1.Add(neuron4);
var layer2 = new NeuronLayer();
layer2.Add(neuron5);
layer2.Add(neuron6);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
Assert.IsTrue(neuron1.Out.Count == 3);
Assert.IsTrue(layer1.ToList()[0].In.Count == 1);
Assert.IsTrue(layer2.ToList()[0].In.Count == 2);
}
static void Main(string[] args)
{
var drawing = new GraphicObject {
Name = "My Drawing"
};
drawing.Children.Add(new Square {
Color = "Red"
});
drawing.Children.Add(new Circle {
Color = "Yellow"
});
var group = new GraphicObject();
group.Children.Add(new Circle {
Color = "Blue"
});
group.Children.Add(new Square {
Color = "Blue"
});
drawing.Children.Add(group);
WriteLine(drawing);
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
private static void Test2()
{
var neuronLayer = new NeuronLayer();
var neuronLayer2 = new NeuronLayer();
neuronLayer.ConnectTo(neuronLayer2);
var neuron = new Neuron();
var otherNeuron = new Neuron();
neuron.ConnectTo(otherNeuron);
neuron.ConnectTo(neuronLayer);
neuronLayer.ConnectTo(neuron);
}
public void ConnectTo_ConnectLayerToNeuron_ValidateIn()
{
var neuron = new Neuron();
var layer = new NeuronLayer();
var neuronInLayer = new Neuron();
layer.Add(neuronInLayer);
layer.ConnectTo(neuron);
Assert.That(neuron.In[0], Is.InstanceOf <Neuron>());
}
static void Main(string[] args)
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
static void Composite()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
public void Run()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
static void RunCompositeDesignPattern2()
{
Neuron neuron1 = new Neuron();
Neuron neuron2 = new Neuron();
neuron1.ConnectTo(neuron2);
NeuronLayer neuronLayer1 = new NeuronLayer();
NeuronLayer neuronLayer2 = new NeuronLayer();
neuronLayer1.ConnectTo(neuronLayer2);
}
public static void CommonInterfaceDemo()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
WriteLine("This example does not provide any output, please check the code.");
}
public static void CreateCompositeNueral()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
// this is possible for a single neutron is seen as an element
// in a collection (a monoelement collection)
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
public void Start()
{
var neuron = new Neuron();
var neuron2 = new Neuron();
neuron.ConnectTo(neuron2);
var layer = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron.ConnectTo(layer);
layer.ConnectTo(layer2);
}
private static void Example2()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2);
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
static void Main(string[] args)
{
var drawing = new GraphicObject {
Name = "My drawing"
};
drawing.Children.Add(new Square {
Color = "Red"
});
drawing.Children.Add(new Circle {
Color = "Yellow"
});
var group = new GraphicObject();
group.Children.Add(new Circle {
Color = "Blue"
});
group.Children.Add(new Square {
Color = "Blue"
});
drawing.Children.Add(group);
Console.WriteLine(drawing);
//// neuron and neuron layer
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2);
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
// exercise
IValueContainer sv = new SingleValue {
Value = 1
};
IValueContainer mv = new ManyValues {
2, 3,
};
var valueContainers = new List <IValueContainer> {
sv, mv
};
Console.WriteLine(valueContainers.Sum());
}
public static void Demo2()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2);
var layoer1 = new NeuronLayer();
var layoer2 = new NeuronLayer();
// now we can mantain que connectivity besides neuron objects or list
neuron1.ConnectTo(layoer1);
layoer1.ConnectTo(layoer2);
}
public static void NeuronExample()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
// Neurons can connect to neurons
// Neurons can connect to layers
// Layers can connect to neurons
// Layers can connect to layers
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
static void MainNN(string[] args)
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2); //1
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
// now takes 4 connect
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
public static void Demo()
{
var neuron1 = new Neuron();
var neuron2 = new Neuron();
neuron1.ConnectTo(neuron2); // 1 method
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
// 4 methods to connect every other kind of object to each other
// Requirements now are, a neuron can connect to a layer, a layer to a neuron, a layer to a layer
// we now can connect them each other
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
}
static void Main(string[] args)
{
// GEOMETRIC SHAPES
var drawing = new GraphicObject {
Name = "My Drawing"
};
drawing.Children.Add(new Square {
Color = "Red"
});
drawing.Children.Add(new Circle {
Color = "Yellow"
});
var group = new GraphicObject();
group.Children.Add(new Circle {
Color = "Blue"
});
group.Children.Add(new Square {
Color = "Blue"
});
drawing.Children.Add(group);
Console.WriteLine(drawing);
// NEURAL NETWORKS
var neuron1 = new Neuron();
var neuron2 = new Neuron();
var layer1 = new NeuronLayer();
var layer2 = new NeuronLayer();
neuron1.ConnectTo(neuron2);
neuron1.ConnectTo(layer1);
layer1.ConnectTo(layer2);
Console.ReadLine();
}
