Before revision:  This construction makes it extremely robust to noise and applicable to small data sets  and, contrary to other deep learning methods, does not require a training set and is impervious to overfitting.
After revision:  This construction makes it extremely robust to noise and applicable to small data sets , and, contrary to other deep learning methods, does not require a training set and is impervious to overfitting.