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TensorFlow
来自开放百科 - 灰狐
(版本间的差异)
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小 (→链接) |
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*[http://tensorflow.org/ TensorFlow官网] | *[http://tensorflow.org/ TensorFlow官网] | ||
*[https://github.com/tensorflow/tensorflow TensorFlow @ GitHub] | *[https://github.com/tensorflow/tensorflow TensorFlow @ GitHub] | ||
+ | *[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] |
2017年8月24日 (四) 06:30的版本
您可以在Wikipedia上了解到此条目的英文信息 TensorFlow Thanks, Wikipedia. |
TensorFlow 是 Google Brain 团队开发的开源(Apache v2)机器学习库。
目录 |
新闻
- TensorFlow 1.0正式发布! (2017.02.15)
简介
指南
项目
- Awesome TensorFlow
- 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
- TensorFlowOnSpark
.NET
- TensorFlow in other languages
- C# API
- IronPython 在 .NET 平台上通过 Python 调用 TensorFlow。
- CNTK .NET Support
文档
图集
链接
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