public void Save()
{
NNetData data = new NNetData(net);
SaveSystem.Save(Application.persistentDataPath + "/net.dat", data);
Debug.Log("Saved successfully!");
}
public void Initialize(NNetData data)
{
structure = data.structure;
random = data.random;
mutateChance = data.mutateChance;
structureLength = structure.Length - 1;
// Initialize weights
weights = new double[structureLength][][];
for (int layer = 0; layer < structureLength; layer++)
{
biasesLength = structure[layer];
weights[layer] = new double[biasesLength][];
for (int node = 0; node < biasesLength; node++)
{
weightsLength = structure[layer];
weights[layer][node] = new double[weightsLength];
for (int weight = 0; weight < weightsLength; weight++)
{
weights[layer][node][weight] = random.NextDouble() * random.Next() == 0 ? 1 : 1;
}
}
}
// Initialize biases
biases = new double[structureLength][];
for (int layer = 0; layer < structureLength; layer++)
{
biasesLength = structure[layer + 1];
biases[layer] = new double[biasesLength];
for (int node = 0; node < biasesLength; node++)
{
biases[layer][node] = random.NextDouble() * random.Next() == 0 ? 1 : 1;
}
}
structureLength = structure.Length;
// Initialize Next cache
nextCalculations = new double[structureLength][];
for (int layer = 0; layer < structureLength; layer++)
{
nextCalculations[layer] = new double[structure[layer]];
}
}
public void save(string path)
{
NNetData netData = new NNetData(this);
SaveSystem.Save(path, netData);
}
