N-Shot Learning: Learning More with Less Data

If AI is the new electricity, then data is the new coal. Unfortunately, just as we've seen a hazardous depletion in the amount of available coal, many AI applications have little or no data accessible to them. New technology has made up for a lack of physical resources; likewise, new techniques are needed to allow applications with little data to perform satisfactorily. This is the issue at the heart of what is becoming a very popular field: N-shot Learning. You may be asking, what the heck is a shot, anyway? Fair question.A shot is nothing more than a single example available for training, so in N-shot learning, we have N examples for training. With the term "few-shot learning", the "few" usually lies between zero and five, meaning that training a model with zero examples is known as zero-shot learning, one example is one-shot learning, and so on.