/** Returns matrices of the right size for either binary or unary (terminal) classification */
FloatMatrix randomClassificationMatrix() {
// Leave the bias column with 0 values
float range = 1.0f / (float) (Math.sqrt((float) numHidden));
FloatMatrix ret = FloatMatrix.zeros(numOuts, numHidden + 1);
FloatMatrix insert = MatrixUtil.rand(numOuts, numHidden, -range, range, rng);
ret.put(interval(0, numOuts), interval(0, numHidden), insert);
return SimpleBlas.scal(scalingForInit, ret);
}
FloatMatrix randomTransformBlock() {
float range = 1.0f / (float) (Math.sqrt((float) numHidden) * 2.0f);
FloatMatrix ret = MatrixUtil.rand(numHidden, numHidden, -range, range, rng).add(identity);
return ret;
}