Besides saving you a lot of effort in creating and deploying your own deep learning model when you need a quick production or a minimal working product demo, APIs can provide several benefits, such as these:
- A standard, stable model:
- APIs for deep learning are often created by an entire group of developers working together on industry-standard technology and research tools that may not be available to all developers. Also, the models deployed through commercial APIs are often very stable to use and provide state-of-the-art features, including scalability, customization, and accuracy. So, if you're facing accuracy issues, which is a common situation in the production of deep learning models, choosing an API is a good choice.
- High-performance models:
- Commercial deep learning APIs often run on very powerful servers and are optimized to a great...
