Summary
Understanding the key concepts of the DL life cycle—which involves several phases, right from understanding the business problem, all the way to model monitoring—is important for developing DL models for genomic applications because each of these phases is critical for the success of building a highly accurate model. Developing DL models for genomic applications not only involves conceptual understanding but also knowing how to practically apply these algorithms in genomics using the available DL libraries.
We started the chapter by going through the iterative steps of a DL life cycle which start with understanding the business problem and culminating with model monitoring. We understood how DL can help to solve a business problem with the right framing of the business problem into a DL problem. Fortunately, the DL community has come up with detailed steps that can help make this process easy.
Since training, tuning, and evaluation are the main topics of...
