Deep learning continues to be of utmost interest to AI practitioners due to its ability to support data-driven decisions and the potential for analysis of unstructured data, resulting in significant productivity improvement and financial benefits. By processing speech, text, image, and video, deep learning has enabled us to develop more insightful perspectives. Deep learning comprises a combination of algorithms that drill multiple layers to extract insights from raw data. It can be particularly applied to unsupervised learning tasks and to try and interpret unlabeled data, which is often much more than labeled data. Although there are exciting possibilities of deep learning, it has some facets that require a cautious approach. Deep learning is still considered a blackbox as its recommendations are not always based on proven theories.