/**************************************************
* Construction of .ann file
* (4)int32 count of layers
* for each layer:
*** (1)FunctionType type of layer
*** (4)int32 count of neurons
*** for each neuron:
***** (4)int32 size of input vector
***** (8 * size)double[] array of weights
**************************************************/
static public FeedForwardNet ReadNet(string filepath)
{
int position = 0;
FeedForwardNet result = new FeedForwardNet();
byte[] bytes = File.ReadAllBytes(filepath);
int layersCount = BitConverter.ToInt32(bytes, position);
position += 4;
for (int i = 0; i < layersCount; ++i)
{
Functions.FunctionType type =
(Functions.FunctionType)bytes[position];
++position;
int neuronsCount = BitConverter.ToInt32(bytes, position);
position += 4;
List <List <double> > toLayer = new List <List <double> >(neuronsCount);
for (int j = 0; j < neuronsCount; ++j)
{
int inputVectorSize = BitConverter.ToInt32(bytes, position);
List <double> weights = new List <double>(inputVectorSize);
position += 4;
for (int l = 0; l < inputVectorSize; ++l)
{
weights.Add(BitConverter.ToDouble(bytes, position));
position += 8;
}
toLayer.Add(weights);
}
result.AddLayer(new Layer(toLayer, true, type));
}
return(result);
}
