Deep learning is a collection of techniques and strategies for parameterizing complex neural network topologies, such as those found in artificial neural networks. However, deep learning cannot function until high-level characteristics can be extracted from a dataset.
Deep learning aims to alleviate the time and labor limitations that plague research processes. This approach makes parameterizing multi-layered conventional neural networks easier.