//Sizes: The size of A: input, <hidden networks>, output
public Network(int[] sizes, Neural_func function, int batchsize = 1)
{
Layers = new Layer[sizes.Length - 1];
for (int i = 0; i < Layers.Length; i++) //Generates all the layers. (Minus one for the output).
{
Layers[i] = new Layer(sizes[i], sizes[i + 1], function, batchsize);
}
}
//Matrix last_value.
public Layer(int in_size, int out_size, Neural_func function, int batchsize = 1)
{
func = function;
this.batchsize = batchsize; //By default 1.
nodes = new Matrix(batchsize, out_size, false); //No need to randomize the node-values (For standard NN)
#if ADD_BIAS
weights = new Matrix(in_size + 1, out_size, true);
#else
weights = new Matrix(in_size, out_size, true); //Random weights!
#endif
//Need to randomize weights.
}
