Deep Learning — Coding Patterns & Practices

In the field of Software Development, good coding patterns and practices are something which are religiously followed. They help make code more readable and understandable. They provide a consistent structure and organization, making it easier to follow the logic of the code and understand how it works. This can make the code more maintainable and reduce the risk of introducing bugs. If good coding patterns are followed then even scaling up complex code to meet the challenging needs is not an issue. Easily understandable code provides a platform for collaborative development. This is something that even the community of Machine Learning Research and Development need to learn from the sister field.

Coding patterns are an important tool for machine learning engineers and deep learning researchers. By using coding patterns, researchers can organize their code, ensure reproducibility, increase efficiency, maintain consistency, and facilitate code reuse. This can help to accelerate the research process and lead to more impactful discoveries in the field of deep learning. In this write-up we will be dwelling on need to follow coding patterns for the communities mentioned and some good practices while writing up your own codebase from scratch.

Coding Patterns Importance

1. Organization: Deep learning projects…