Comment by timanglade

Been using Tensorflow embedded in a mobile app for a few months and honestly, I’m constantly surprised at how well thought-out the tooling is, and how quickly you can get results. Conversely, I think a few things are still unnecessarily dense (installing dependencies, optimizing hyper-parameters, and some of the embedded/XLA stuff is very raw). Kudos to the team though. It sounds like they’re on the right track with TF overall, and focusing on performance (including the XLA stuff) + ease of use (high-level, Keras API) is absolutely what I want as a user right now. Keep up the great work, y’all.