The performance of deep learning applications has improved proportionally with the increase in automation techniques such as Neural Architecture Search(NAS). Today hierarchical feature extractors are learned in an end-to-end fashion from data rather than manually designed.  NAS is the process of automating architecture engineering, a part of AutoML. NAS can be seen as a subfield…

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