Abstract

AbstractThis chapter presents the concepts of Deep Learning (DL) models. Also, comprehensive descriptions of general DL architectures are provided, and different types of such models are categorized and discussed in an applicable and reproducible form. The main feature of this chapter is presenting various examples with python codes so that the reader can easily follow the algorithms of designing and testing DL models step-by-step.

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