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TensorFlow.NET
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Commits on Sep 4, 2021
Release v0.60.3.
Oceania2018
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Commits on Jul 11, 2021
seperate TensorFlowNET.Graph.UnitTest project.
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Commits on Feb 13, 2021
Upgrade to SciSharp.TensorFlow.Redist v2.4.1
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Commits on Jan 23, 2021
Memory leak in FuncGraph #727.
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Commits on Jan 16, 2021
Move keras unit test in seperate project.
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Commits on Jan 9, 2021
Adjust unit test project.
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Commits on Dec 26, 2020
imdb dataset.
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Commits on Dec 19, 2020
Add Tensorflow.Text project.
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Commits on Nov 9, 2020
Seperated Keras from binding project.
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Commits on Jul 27, 2020
Partial implementation of tf.keras. #355
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Commits on May 23, 2020
change parameter to BindingArray.
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Commits on May 13, 2020
Add ResourceVariable native api.
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Commits on May 9, 2020
basic gradient works and switch to r2.2 native.
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Commits on Mar 15, 2020
add float and double Equal.
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Commits on Mar 8, 2020
TensorHandleDevices
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Commits on Feb 15, 2020
Renormalize all files
sharwell
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Commits on Feb 3, 2020
rename project.
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Commits on Jan 27, 2020
NumSharp project
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Tensorflow Hub
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Commits on Jan 19, 2020
rename to Tensorflow.NET
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Commits on Jan 11, 2020
Optimizer and Regularizer classes skeleton added
deepakkumar1984
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Commits on Jan 8, 2020
Build Keras Skeleton
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Commits on Dec 4, 2019
release TF.NET v0.13.0.
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Commits on Nov 15, 2019
rename Keras project.
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Commits on Nov 13, 2019
remove Models and Hub projects.
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Commits on Oct 13, 2019
Move NumSharp to nuget reference
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Commits on Oct 11, 2019
create ResourceVariable, still with buggy.
Oceania2018
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Commits on Oct 3, 2019
rename projects TensorFlowHub and Datasets.
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remove examples to examples repo.
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Commits on Sep 30, 2019
remove GPU example, it's conflict with CPU version. If you want to run GPU version, please just change to GPU binary.
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Commits on Sep 9, 2019
generated ObjectDetection related protos for tf.models.
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Commits on Sep 6, 2019
add moving_averages, fix ExponentialMovingAverage
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Commits on Aug 17, 2019
Upgrade NumSharp to v0.20-alpha1
Oceania2018
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Commits on Aug 3, 2019
fix compile error.
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Commits on Aug 1, 2019
fix #333 : Add a project file for GPU examples 。 (#336)
Jiuyong
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