Deep learning isn’t hard anymore by Caleb Kaiser via @TDataScience

Deep learning used to require large amounts of data, deep pockets, and a novel, usually custom-built, architecture. But with transfer learning (which takes a pre-trained model and retrains the last layers of the model to focus on a new task), a single engineer can deploy a model in a new domain in a matter of days

There is a great link in the article to a primer on Transfer Learning which is well worth the time investment in reading and learning so you can take advantage of that technique.