public static string SaveFile(Epoch E)
{
int err = 0;
StringMaker str = new StringMaker();
// All things that need to be saved to a file
List <Perceptron> input_layer = E.GetInputLayer();
List <List <Perceptron> > hidden_layers = E.GetHiddenLayers();
List <Perceptron> output_layers = E.GetOutputLayers();
// Then with total hidden layer count
str.Add(FloatByteConverter.FloatToStringOfBytes((float)hidden_layers.Count));
// Then hidden layer size
if (hidden_layers.Count == 0)
{
str.Add(FloatByteConverter.FloatToStringOfBytes(0f));
}
else
{
str.Add(FloatByteConverter.FloatToStringOfBytes((float)hidden_layers[0].Count));
}
// Then hidden layer weight count
for (int i = 0; i < hidden_layers.Count; i++)
{
for (int j = 0; j < hidden_layers[i].Count; j++)
{
float values_layer = hidden_layers[i][j].GetWeights().Length;
str.Add(FloatByteConverter.FloatToStringOfBytes(values_layer));
}
}
// Then output layer size
str.Add(FloatByteConverter.FloatToStringOfBytes((float)output_layers.Count));
// Then output weight count
float values = output_layers[0].GetWeights().Length;
str.Add(FloatByteConverter.FloatToStringOfBytes(values));
// Add all bias and weights of each hidden layers perceptrons
if (hidden_layers.Count > 0)
{
for (int i = 0; i < hidden_layers.Count; i++)
{
for (int j = 0; j < hidden_layers[i].Count; j++)
{
float[] weights = hidden_layers[i][j].GetWeights();
float bias = hidden_layers[i][j].GetBias();
//BIAS
str.Add(FloatByteConverter.FloatToStringOfBytes(bias));
//WEIGHTS
for (int c = 0; c < weights.Length; c++)
{
str.Add(FloatByteConverter.FloatToStringOfBytes(weights[c]));
SavingThread.m_Saving_Layer = (hidden_layers.Count + 1) - i;
SavingThread.m_Saving_Perceptron = (hidden_layers[i].Count) - j;
SavingThread.m_Saving_Weight = (weights.Length) - c;
}
}
}
}
// Add all bias and weights of each output layer perceptron
for (int i = 0; i < output_layers.Count; i++)
{
// Save Me
float[] weights = output_layers[i].GetWeights();
float bias = output_layers[i].GetBias();
//BIAS
str.Add(FloatByteConverter.FloatToStringOfBytes(bias));
//WEIGHTS
for (int c = 0; c < weights.Length; c++)
{
str.Add(FloatByteConverter.FloatToStringOfBytes(weights[c]));
SavingThread.m_Saving_Layer = 1;
SavingThread.m_Saving_Perceptron = (output_layers.Count) - i;
SavingThread.m_Saving_Weight = (weights.Length) - c;
}
}
// Add all bias and weights of each input layer perceptron
for (int i = 0; i < input_layer.Count; i++)
{
// Save Me
float weight = input_layer[i].GetWeight(0);
float bias = input_layer[i].GetBias();
//BIAS
str.Add(FloatByteConverter.FloatToStringOfBytes(bias));
//WEIGHT
str.Add(FloatByteConverter.FloatToStringOfBytes(weight));
SavingThread.m_Saving_Layer = 0;
SavingThread.m_Saving_Perceptron = (input_layer.Count) - i;
SavingThread.m_Saving_Weight = (input_layer.Count) - i;
}
return(str.GetString());
}