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TensorFlow
来自开放百科 - 灰狐
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{{SeeWikipedia}} | {{SeeWikipedia}} | ||
| + | [[文件:TensorFlow-logo.png|right|TensorFlow]] | ||
| + | |||
| + | TensorFlow | ||
| + | |||
| + | ==新闻== | ||
| + | *[https://research.googleblog.com/2017/02/announcing-tensorflow-10.html TensorFlow 1.0正式发布！] (2017.02.15) | ||
| + | |||
| + | ==简介== | ||
TensorFlow 是 Google Brain 团队开发的开源(Apache v2)[[machine learning|机器学习]]库。 | TensorFlow 是 Google Brain 团队开发的开源(Apache v2)[[machine learning|机器学习]]库。 | ||
==指南== | ==指南== | ||
| + | *[https://github.com/nlintz/TensorFlow-Tutorials TensorFlow-Tutorials] | ||
| + | |||
| + | ==项目== | ||
| + | *[https://github.com/jtoy/awesome-tensorflow Awesome TensorFlow] [[文件:awesome.png]] | ||
| + | *[https://github.com/tensorflow/tensorflow TensorFlow @ GitHub] | ||
| + | *[https://github.com/tensorflow/ecosystem TensorFlow Ecosystem] | ||
| + | *[[Keras]] | ||
| + | *[https://github.com/tensorflow/haskell Haskell bindings for TensorFlow] | ||
| + | *[https://github.com/tensorflow/models TensorFlow Models] | ||
| + | *[https://github.com/tensorflow/skflow skflow] Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning | ||
| + | *[https://github.com/tensorflow/rust Rust language bindings for TensorFlow] | ||
| + | *[https://github.com/tensorflow/magenta Magenta] Music and Art Generation with Machine Intelligence | ||
| + | *[https://github.com/tensorflow/serving Serving] A flexible, high-performance serving system for machine learning models | ||
| + | *[https://github.com/tensorflow/playground playground] Play with neural networks | ||
| + | *[https://github.com/google/deepdream deepdream] 基于Inception识别模型的神经网络视幻觉软件 | ||
| + | *[https://github.com/yahoo/TensorFlowOnSpark TensorFlowOnSpark] | ||
| + | |||
| + | ==.NET== | ||
| + | *[https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/how_tos/language_bindings/index.md TensorFlow in other languages] | ||
| + | *[https://github.com/tensorflow/tensorflow/issues/18 C# API] | ||
| + | *[[IronPython]] 在 [[.NET]] 平台上通过 [[Python]] 调用 TensorFlow。 | ||
| + | *[[CNTK]] [https://github.com/Microsoft/CNTK/issues/960 .NET Support] | ||
==文档== | ==文档== | ||
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==图集== | ==图集== | ||
| + | <gallery> | ||
| + | image:TensorFlow-Architecture.jpg|架构 | ||
| + | image:tensorflow-lite-architecture.jpg|TensorFlow Lite架构 | ||
| + | </gallery> | ||
==链接== | ==链接== | ||
*[http://tensorflow.org/ TensorFlow官网] | *[http://tensorflow.org/ TensorFlow官网] | ||
| − | *[https:// | + | *[https://caicloud.io/ 才云 TensorFlow as a Service (TaaS)] |
*[http://www.infoq.com/cn/news/2016/03/databricks-spark-tensorflow Databricks整合Spark和TensorFlow用于深度学习模型], [https://databricks.com/blog/2016/01/25/deep-learning-with-spark-and-tensorflow.html Deep Learning with Spark and TensorFlow] | *[http://www.infoq.com/cn/news/2016/03/databricks-spark-tensorflow Databricks整合Spark和TensorFlow用于深度学习模型], [https://databricks.com/blog/2016/01/25/deep-learning-with-spark-and-tensorflow.html Deep Learning with Spark and TensorFlow] | ||
*[http://www.infoq.com/cn/news/2015/11/tensorflow-vs-dmtk-vs-systemml TensorFlow、DMTK与SystemML孰优孰劣] | *[http://www.infoq.com/cn/news/2015/11/tensorflow-vs-dmtk-vs-systemml TensorFlow、DMTK与SystemML孰优孰劣] | ||
*[http://wiki.jikexueyuan.com/project/tensorflow-zh/ TensorFlow官方文档中文版] | *[http://wiki.jikexueyuan.com/project/tensorflow-zh/ TensorFlow官方文档中文版] | ||
| + | *[http://deeplearning4j.org/compare-dl4j-torch7-pylearn.html DL4J vs. Torch vs. Theano vs. Caffe vs. TensorFlow] | ||
[[category:machine learning]] | [[category:machine learning]] | ||
| + | [[category:deep learning]] | ||
[[category:data science]] | [[category:data science]] | ||
[[category:c++]] | [[category:c++]] | ||
[[category:python]] | [[category:python]] | ||
[[category:google]] | [[category:google]] | ||
2022年6月1日 (三) 06:18的最后版本
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您可以在Wikipedia上了解到此条目的英文信息 TensorFlow Thanks, Wikipedia. |
TensorFlow
目录 |
[编辑] 新闻
- TensorFlow 1.0正式发布！ (2017.02.15)
[编辑] 简介
TensorFlow 是 Google Brain 团队开发的开源(Apache v2)机器学习库。
[编辑] 指南
[编辑] 项目
- Awesome TensorFlow
- TensorFlow @ GitHub
- TensorFlow Ecosystem
- Keras
- Haskell bindings for TensorFlow
- TensorFlow Models
- skflow Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
- Rust language bindings for TensorFlow
- Magenta Music and Art Generation with Machine Intelligence
- Serving A flexible, high-performance serving system for machine learning models
- playground Play with neural networks
- deepdream 基于Inception识别模型的神经网络视幻觉软件
- TensorFlowOnSpark
[编辑] .NET
- TensorFlow in other languages
- C# API
- IronPython 在 .NET 平台上通过 Python 调用 TensorFlow。
- CNTK .NET Support
[编辑] 文档
[编辑] 图集
架构
TensorFlow Lite架构
[编辑] 链接
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