Docker: Add TensorFlow libs link to README.md
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@ -50,7 +50,7 @@ Missing build dependencies must be installed manually as shown in our human-read
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[Dockerfile](https://github.com/photoprism/photoprism/blob/develop/docker/develop/Dockerfile). You often don't
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need to use the exact same versions, so it's possible to replace packages with what is available in your environment.
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Note we don't have the resources to provide private users with dependencies and TensorFlow libraries for their personal
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Note we don't have the resources to provide private users with dependencies and [TensorFlow libraries](https://dl.photoprism.app/tensorflow/) for their personal
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environments. We therefore recommend learning Docker if your operating system supports it. Docker vastly simplifies
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installation and upgrades. It saves our team a lot of time that we can then spend more effectively.
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