static void backPropagationExample()
{
NeuralNetwork example = new NeuralNetwork(new int[] { 3, 3, 1 });
//gradientNetwork.gradient(new float[][] { new float[] { 1, 0 }, new float[] { 0, 0 }, new float[] { 0, 1 }, new float[] { 1, 1 } }, new float[] { 0, 0, 0, 1 }, gradientNetwork.unrollConnections(gradientNetwork.connections), 0);
example.BackPropagation(new float[][] { new float[] { 1, 0 }, new float[] { 0, 0 }, new float[] { 0, 1 }, new float[] { 1, 1 } }, new float[][] { new float[] { 1 }, new float[] { 0 }, new float[] { 1 }, new float[] { 0 } }, 7f, 0, 5000);
for (int l = 0; l < example.L - 1; l++)
{
for (int i = 0; i < example.maxNodesPerLayer[l]; i++)
{
for (int j = Convert.ToInt32(example.nodes[l + 1][0].bias); j < example.maxNodesPerLayer[l + 1]; j++)
{
Console.WriteLine("l: " + l + ", i:" + i + ", j:" + j + ", theta: " + example.connections[l][i, j]);
}
}
}
}
static void invertInput()
{
NeuralNetwork inv = new NeuralNetwork(new int[] { 3, 2 });
float[][] input = new float[][] { new float[] { 0, 0 }, new float[] { 1, 0 }, new float[] { 0, 1 }, new float[] { 1, 1 } };
float[][] output = new float[][] { new float[] { 1, 1 }, new float[] { 0, 1 }, new float[] { 1, 0 }, new float[] { 0, 0 } };
inv.BackPropagation(input, output, 1f, 0, 5000);
/*
* inv.Connect(0, 0, 0, 10f);
* inv.Connect(0, 0, 1, 10f);
*
* inv.Connect(0, 1, 0, -50f);
* inv.Connect(0, 2, 1, -50f);
*
* inv.SetInput(new float[] { 0, 0 });
* float[] result1 = inv.FeedForward();
* Console.WriteLine("first output: " + result1[0]);
* Console.WriteLine("second output: " + result1[1]);
* Console.WriteLine("//////");
*
* inv.SetInput(new float[] { 1, 0 });
* float[] result2 = inv.FeedForward();
* Console.WriteLine("first output: " + result2[0]);
* Console.WriteLine("second output: " + result2[1]);
* Console.WriteLine("//////");
*
* inv.SetInput(new float[] { 0, 1 });
* float[] result3 = inv.FeedForward();
* Console.WriteLine("first output: " + result3[0]);
* Console.WriteLine("second output: " + result3[1]);
* Console.WriteLine("//////");
*
* inv.SetInput(new float[] { 1, 1 });
* float[] result4 = inv.FeedForward();
* Console.WriteLine("first output: " + result4[0]);
* Console.WriteLine("second output: " + result4[1]);
* Console.WriteLine("//////");
*
*/
}