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Gradient

v0.15.7.2Latest Stable
.NETStandard2.0

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras and tf.contrib APIs, including estimators. This preview will expire. !!NOTE!! This version requires Python 3.x x64 to be installed with tensorflow or tensorflow-gpu 1.15. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 1.15 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For on-site/remote support for this preview email [email protected] . More information in NuGet package release notes and at the project web page: https://github.com/losttech/Gradient .

Published
Feb 11, 2020
6y ago
Total Downloads
24.0K
24,007

Deprecated Package Version

Reason: Legacy

The project changed name for clarity. See https://ml.blogs.losttech.software/TF-1.15-Release-Candidate/

Suggested alternative:LostTech.TensorFlow*

Install

dotnet add package Gradient --version 0.15.7.2
ProductVersions
.NET Standard
netstandard2.0

Changes from Previous Version

v0.1.10-tech-preview6.4v0.15.7.2
Added Dependencies
LostTech.NumPy(.NETStandard2.0)

Adoption Assessment

Assess this package against its supported frameworks, license, maintenance signals and dependency graph before making it a project standard.

NuGet marks this package as deprecated and points to LostTech.TensorFlow as an alternative.No SPDX license expression is published. Review the license text and your organisation's policy before redistribution.Compatibility metadata lists 1 target framework; confirm the exact target used by your application.

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