This page lists links to resources about distributed TensorFlow.
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- Distributed TensorFlow on Spark (on Github, slideshare, Blog post, presentation video)
- Large Scale Deep Learning with TensorFlow (Using Spark, YouTube Video)
- TensorFrames: Google Tensorflow on Apache Spark (GPUs + Spark)
- Distributed Tensorflow Example (by Imanol Schlag)
A brief tutorial on how to do asynchronous and data parallel training using three worker machines with each one using a GTX 960 GPU (2GB) and one parameter server with no GPU. The author used a simple sigmoid network with a small learning rate to measure performance differences on MNIST. The goal is not to achieve a high accuracy but to learn about tensorflows distribution capabilities.
- TensorOnSpark on Github (by liangfengsid)
Running Tensorflow on Spark in the scalable, fast and compatible style
- Spark GPU Demo on GitHub (by )
- Glossary in Distributed TensorFlow (August 26, 2016 by weiwen.web)
