At the risk of giving a serious answer when your phrasing makes it seem like you're trolling: No. The Cloud ML service is your data and your model and your tr

At the risk of giving a serious answer when your phrasing makes it seem like you're trolling: No. The Cloud ML service is your data and your model and your training results (except as required for google computers to touch it to train it and store it - but the results of that training are yours.) The same question was asked earlier of the Vision API, with the same answer: https://news.ycombinator.com/item?id=11128444 https://news.ycombinator.com/item?id=11128444 At a high level, you can think of it as having mostly the same properties as if you rented a bunch of GCE machines (or AWS machines) and ran TensorFlow on them, with your data stored in GCS (or S3 or whatever). The difference is that Cloud ML handles the scaling pain for you -- managing the machines, starting and keeping tasks running, load balancing, etc. (disclaimer: I'm working on TensorFlow, not Cloud ML.)