There are several approaches to how we can apply deep learning to various industries. While it is true that an approach could be different depending on the task or purpose, we can briefly categorize the approaches in the following three ways:
Field-oriented approach: This utilizes deep learning algorithms or models that are already thoroughly researched and can lead to great performance
Breakdown-oriented approach: This replaces the problems to be solved that deep learning can apparently be applied to with a different problem where deep learning can be well adopted
Output-oriented approach: This explores new ways of how we express the output with deep learning
These approaches are all explained in detail in the following subsections. Each approach is divided into its suitable industries or areas where it is not suitable, but any of them could be a big hint for your activities going forward. There are still very few use...
