June 2019
Intermediate to advanced
308 pages
7h 21m
English
Even with tremendous success in various application domains, DL models have many issues to be addressed in the future. For example, any false claim made by a DL model that is not recognizable by humans is an issue. Lack of regression capability of DL models is an issue for many IoT applications, as they need some kind of regression as their core analysis component. Few works already propose solutions for the regression capability integration within DL models. We need further research in this direction.
The following diagram summarizes the key challenges related to the DL perspective:

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