Production-Ready Applied Deep Learning

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Reviewing the Completed Deep Learning Project

The last phase of a deep learning (DL) project is the reviewing process. During the planning phase, the responsibility of each stakeholder has been defined and the goal of the project has been set. In this phase, stakeholders must group again to revisit the responsibilities and the goal to evaluate whether the project was carried out as planned or not. Such a process can be summarized as a post-implementation review (PIR). To guide the reviewing process further, we also describe different ways of evaluating a completed project, including but not limited to gap analysis, estimate at completion, and sustainability analysis. In addition to project evaluation, the details of the project need to be ...