https://github.com/elggem/tensorflow_node
Tensorflow based ROS node for evaluating deep learning algorithms.
https://github.com/elggem/tensorflow_node
artificial-intelligence artificial-neural-networks autoencoder deeplearning ros ros-node science tensorflow
Last synced: 10 months ago
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Tensorflow based ROS node for evaluating deep learning algorithms.
- Host: GitHub
- URL: https://github.com/elggem/tensorflow_node
- Owner: elggem
- License: unlicense
- Created: 2016-11-01T04:28:36.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-31T07:35:34.000Z (about 9 years ago)
- Last Synced: 2025-04-04T01:32:10.710Z (about 1 year ago)
- Topics: artificial-intelligence, artificial-neural-networks, autoencoder, deeplearning, ros, ros-node, science, tensorflow
- Language: Python
- Homepage:
- Size: 17.4 MB
- Stars: 11
- Watchers: 3
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# tensorflow_node
This is a tensorflow based framework for evaluating deep learning algorithms and streaming internal believe states out via ROS. It aims to be a flexible implemention that can be modified and inspected during runtime on live stream data. Eventually it will be used in conjunction with the [OpenCog](https://github.com/opencog/opencog) framework for integrated Artificial General Intelligence.
- *This code is under heavy development and used for research purposes, so handle with care!*
## Documentation
You can find documentation on the [wiki](https://github.com/elggem/tensorflow_node/wiki) tab. There are references for the network architecture and some high-level descriptions on how it works.
## Participate
I've put todos and remaining tasks in the projects tab on Github. Feel free to collaborate or contact me if you have any suggestions!
## I want to run it!
Clone the repo into your catkin workspace, make it and run
roslaunch tensorflow_node mnist.launch
TF summaries are being written to `outputs/summaries`, if enabled in the config file, and they can be inspected via this command:
rosrun tensorflow_node tensorboard