What is Neural Architecture Search? And Why Should You Care?

The use of deep learning models is becoming more and more democratic every day and is becoming indispensable in many industries. Nevertheless, the implementation of efficient neural networks generally requires a background in architectural engineering and lots of time to explore in an iterative process the full range of solutions to our knowledge. The form and architecture of a neural network will vary in its use for a specific need. It is therefore necessary to design an architecture-specific to the given need. Designing these networks in a trial-and-error way is then a tedious task and requires architectural engineering skills and domain expertise.