Meta-learning is a broad machine learning term. It has a number of meanings, but it generally entails utilizing metadata for a specific problem in order to solve it. Its applications range from solving a problem more efficiently, to designing entirely new learning algorithms. It is a growing research field that has recently yielded impressive results by designing novel deep learning architectures.