TensorFlow brings machine learning to the masses

You might think that adopting deep learning or machine learning (ML) techniques means hiring a fleet of cutting edge data scientists with PhDs, but this simply is not true. Creating new deep learning models and theories is hard, but using the existing, popular deep learning models is not rocket science. In fact, a typical IT engineer can learn the basics of ML, including how to integrate and use the well-known ML and deep learning algorithms and techniques, to build an ML solution. In short, a company's IT engineers can be trained to become ML engineers. Konpeki, a car image recognition system for used car auctions (Image by Aucnet; used with permission.)