Machinelearning: Upgrade TensorFlow to 2.3 / Tensorflow.NET to 0.20

Created on 18 Sep 2020  路  3Comments  路  Source: dotnet/machinelearning

Hello,
I'm opening this issue for our discussion around migrating our implementation of Image Classification to TF.NET 0.20. It's release is imminent and wanted to have a public place for the discussion.

Cheers,
Jake

P2 enhancement

Most helpful comment

Hi @JakeRadMSFT, I'm so exciting to hear that ML .NET will upgrade its DNN module to align with lastet version of Tensorflow.NET. Current release is Preview 4 in NuGet. I'm working on fixing the last 3 examples, it will be pretty soon to release v0.20. We've already shipped tensorflow native 2.3 libraries include Windows, Linux and Mac as well as GPU version.

image

TF .NET v0.20 will bring a lot of new features, the some main things are EAGER MODE, tf.dataset data preprocess and Keras high level deep learning framework which is partially working.

All 3 comments

Hi @JakeRadMSFT, I'm so exciting to hear that ML .NET will upgrade its DNN module to align with lastet version of Tensorflow.NET. Current release is Preview 4 in NuGet. I'm working on fixing the last 3 examples, it will be pretty soon to release v0.20. We've already shipped tensorflow native 2.3 libraries include Windows, Linux and Mac as well as GPU version.

image

TF .NET v0.20 will bring a lot of new features, the some main things are EAGER MODE, tf.dataset data preprocess and Keras high level deep learning framework which is partially working.

@harishsk @JakeRadMSFT
Should we update tf document since the version of tf.net and tf runtime has changed.

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