public _1DMatrix feedForward(_1DMatrix a)
{
for (int i = 1; i < num_layers; i++)
{
}
return(null);
}
public Network(int[] sizes)
{
num_layers = sizes.Length;
this.sizes = sizes;
//biases = new double[num_layers];
biases = new _1DMatrix[num_layers];
//the first layer is input layer so it does not contain any biases
for (int i = 1; i < num_layers; i++)
{
biases[i] = new _1DMatrix(sizes[i]);
biases[i].generateRand();
weights[i] = new _2DMatrix(sizes[i - 1], sizes[i]);
weights[i].generateRand();
}
}
