Exploring deployment decisions based on practical use cases

In this section, we will explore practical deployment decisions for DL models in production, focusing on two distinct use cases: a sentiment analysis application for an e-commerce company and a face detection and recognition system for security cameras. By examining these real-world scenarios, we will gain valuable insights into establishing robust deployment strategies tailored to specific needs and objectives.

Exploring deployment decisions for a sentiment analysis application

Suppose you are developing a sentiment analysis application to be used by an e-commerce company to analyze customer reviews in real-time. The system needs to process a large number of reviews every day, and low latency is essential to provide immediate insights for the company. In this case, your choices could be as follows:

• Architectural choice: As an independent service, as it would allow better scalability and easier updates to handle...