Deep learning has evolved into one of the most powerful techniques for analytics on both structured and unstructured data. As a well-adopted analytics system, SAS has also integrated deep learning functionalities into its product family, such as SAS Viya, SAS Cloud Analytic Services, and SAS Visual Data Mining and Machine Learning. In this paper, we conduct an in-depth comparison between SAS and Python on their deep learning modeling with different types of data, including structured, images, text, and sequential data. We focus on using such deep learning frameworks in SAS environment, and highlight the main differences between SAS and Python on programming styles on deep learning along with each tool’s advantages and disadvantages.
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