AWS for Deep Learning — Terms to explore

S3, EFS, EC2, SageMaker, DLAMI etc



Amazon Simple Storage Service (S3): It stores a massive amount of data for DL projects and forms the base for data ingestion, ETL, ad hoc data querying, and data wrangling. We also connect data analysis and visualization tools to S3 to make sense of the data before pushing in a Dl project.


DL models require millions of matrix and vector operations. GPU hardware parallelizes them with its many cores and improves performance.


Beyond offering the building blocks for deep learning applications, Amazon also offers end-to-end deep learning solutions. We’ll cover three options.



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