Swift for TensorFlow is a result of first-principles thinking applied to machine learning frameworks, and works quite differently than existing TensorFlow language bindings. Whereas prior solutions are designed within the constraints of what can be achieved by a (typically Python or Lua) library, Swift for TensorFlow is based on the belief that machine learning is important enough to deserve first-class language and compiler support.
Source: Swift Community | TensorFlow
What languages a developer needs to learn in order to traverse all the different domains that come together to deliver “full stack” applications is something I revisit every year in order to keep my skills and knowledge up-to-date. Always happy to have options that fold into my core skills 🙂