  In this paper, a framework for testing Deep Neural Network (DNN) design in
Python is presented. First, big data, machine learning (ML), and Artificial
Neural Networks (ANNs) are discussed to familiarize the reader with the
importance of such a system. Next, the benefits and detriments of implementing
such a system in Python are presented. Lastly, the specifics of the system are
explained, and some experimental results are presented to prove the
effectiveness of the system.
