aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/docs_src/about/uses.md
diff options
context:
space:
mode:
Diffstat (limited to 'tensorflow/docs_src/about/uses.md')
-rw-r--r--tensorflow/docs_src/about/uses.md68
1 files changed, 0 insertions, 68 deletions
diff --git a/tensorflow/docs_src/about/uses.md b/tensorflow/docs_src/about/uses.md
deleted file mode 100644
index d3db98203e..0000000000
--- a/tensorflow/docs_src/about/uses.md
+++ /dev/null
@@ -1,68 +0,0 @@
-# TensorFlow In Use
-
-This page highlights TensorFlow models in real world use.
-
-
-## Model zoo
-
-Please visit our collection of TensorFlow models in the
-[TensorFlow Zoo](https://github.com/tensorflow/models).
-
-If you have built a model with TensorFlow, please consider publishing it in
-the Zoo.
-
-
-## Current uses
-
-This section describes some of the current uses of the TensorFlow system.
-
-> If you are using TensorFlow for research, for education, or for production
-> usage in some product, we would love to add something about your usage here.
-> Please feel free to [email us](mailto:usecases@tensorflow.org) a brief
-> description of how you're using TensorFlow, or even better, send us a
-> pull request to add an entry to this file.
-
-* **Deep Speech**
-<ul>
- <li>**Organization**: Mozilla</li>
- <li> **Domain**: Speech Recognition</li>
- <li> **Description**: A TensorFlow implementation motivated by Baidu's Deep Speech architecture.</li>
- <li> **More info**: [GitHub Repo](https://github.com/mozilla/deepspeech)</li>
-</ul>
-
-* **RankBrain**
-<ul>
- <li>**Organization**: Google</li>
- <li> **Domain**: Information Retrieval</li>
- <li> **Description**: A large-scale deployment of deep neural nets for search ranking on www.google.com.</li>
- <li> **More info**: ["Google Turning Over Its Lucrative Search to AI Machines"](http://www.bloomberg.com/news/articles/2015-10-26/google-turning-its-lucrative-web-search-over-to-ai-machines)</li>
-</ul>
-
-* **Inception Image Classification Model**
-<ul>
- <li> **Organization**: Google</li>
- <li> **Description**: Baseline model and follow on research into highly accurate computer vision models, starting with the model that won the 2014 Imagenet image classification challenge</li>
- <li> **More Info**: Baseline model described in [Arxiv paper](http://arxiv.org/abs/1409.4842)</li>
-</ul>
-
-* **SmartReply**
-<ul>
- <li> **Organization**: Google</li>
- <li> **Description**: Deep LSTM model to automatically generate email responses</li>
- <li> **More Info**: [Google research blog post](http://googleresearch.blogspot.com/2015/11/computer-respond-to-this-email.html)</li>
-</ul>
-
-* **Massively Multitask Networks for Drug Discovery**
-<ul>
- <li> **Organization**: Google and Stanford University</li>
- <li> **Domain**: Drug discovery</li>
- <li> **Description**: A deep neural network model for identifying promising drug candidates.</li>
- <li> **More info**: [Arxiv paper](http://arxiv.org/abs/1502.02072)</li>
-</ul>
-
-* **On-Device Computer Vision for OCR**
-<ul>
- <li> **Organization**: Google</li>
- <li> **Description**: On-device computer vision model to do optical character recognition to enable real-time translation.</li>
- <li> **More info**: [Google Research blog post](http://googleresearch.blogspot.com/2015/07/how-google-translate-squeezes-deep.html)</li>
-</ul>