We’re especially excited to see how people all over the world are using TensorFlow. For example:
Australian marine biologists are using TensorFlow to find sea cows in tens of thousands of hi-res photos to better understand their populations, which are under threat of extinction.
An enterprising Japanese cucumber farmer trained a model with TensorFlow to sort cucumbers by size, shape, and other characteristics.
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We’re committed to making sure TensorFlow scales all the way from research to production and from the tiniest Raspberry Pi all the way up to server farms filled with GPUs or TPUs. But TensorFlow is more than a single open-source project – we’re doing our best to foster an open-source ecosystem of related software and machine learning models around it:
The TensorFlow Serving project simplifies the process of serving TensorFlow models in production.
TensorFlow “Wide and Deep” models combine the strengths of traditional linear models and modern deep neural networks.
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Thanks very much to all of you who have already adopted TensorFlow in your cutting-edge products, your ambitious research, your fast-growing startups, and your school projects; special thanks to everyone who has contributed directly to the codebase. In collaboration with the global machine learning community, we look forward to making TensorFlow even better in the years to come!
Posted by Zak Stone, Product Manager for TensorFlow, on behalf of the TensorFlow team
