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- W2916579675 abstract "Deep learning is a thriving research area with many successful applications in different fields. The article is written with a view to provide a state of the art review of deep learning. To some extent, we will present a historical overview necessary to understand the concepts that laid the foundations of today's Deep Learning. We will cover different methods that made the successful training of deep learning models possible at a very high scale in various modern practices." @default.
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- W2916579675 date "2018-10-24" @default.
- W2916579675 modified "2023-10-16" @default.
- W2916579675 title "Deep Learning" @default.
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- W2916579675 doi "https://doi.org/10.1145/3289402.3289538" @default.
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