Upgrade tensorflow to 2.1.0

[dyeo]

🎉 Issues resolved:

• closes Update Tensorflow #2

🧪 How to Test

1. Update your CUDA install to v10.1 and install the latest cuDNN for that version
2. Restart your computer
3. Update your installation and dependencies by running pip install .
4. Run the game as normal

Caveats

• Upgrading to tensorflow 2.1.0 results in this issue on windows 10 devices, even with the correct CUDA version installed. The suggested fix is to downgrade to tensorflow 14.0.0, which obviously doesn't benefit us.
  • This seems to be a non-issue.

[dustinlacewell]

I don't really have enough ML background to review the semantics of these changes, but the Python looks fine. Let's wait for a review by @WAUthethird to get it merged.

[WAUthethird]

Well done! Seems this upgrade addresses all the issues and conversion factors needed, however I'm unsure about requiring users to install CUDA. Seems that Microsoft Visual C++ Redistributable for Visual Studio 2015 needs to be installed to solve the error, as per this link: tensorflow/tensorflow#22794 (comment)

Will test and report back.

[WAUthethird]

I've tested on TF 2.1 (most recent version) and TF 2.0 and I don't receive CUDA errors, rather the expected warnings in the initialization process. I have the Visual C++ Rd for VS 2015 installed. CUDA is not required.

You can safely update the package versions. I've confirmed that tensorflow 2.1.0 and tensorflow-estimator 2.0.1 work with this PR with modification to the version checks. tensorboard can most likely be updated without issue.

[dyeo]

Updated to 2.1.0 🚀