Quick and Distributed TensorFlow command framework
Project description
# tensorflow-qnd
[![Build Status](https://travis-ci.org/raviqqe/tensorflow-qnd.svg?branch=master)](https://travis-ci.org/raviqqe/tensorflow-qnd) [![License](https://img.shields.io/badge/license-unlicense-lightgray.svg)](https://unlicense.org)
Quick and Distributed TensorFlow command framework
tensorflow-qnd is a TensorFlow framework to create commands to experiment with models on multiple computers.
## Installation
Python 3.5+ and TensorFlow 0.12+ are required.
` $ pip3 install --user --upgrade tensorflow-qnd `
## Usage
WIP
## Examples
WIP
## Design
All users need to do is to define model and input functions.
Model function : features and labels… -> predictions, loss, train op, eval metrics (if any)
Input function : filename queue -> features, labels - Features and labels can be a dict of str to tf.Tensor or a single tf.Tensor. - Features and labels should be batched. - Its input is a filename queue so that users can use [Readers](https://www.tensorflow.org/api_docs/python/io_ops/readers#FixedLengthRecordReader).
## License
[The Unlicense](https://unlicense.org)
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