https://github.com/timkam/nn-with-tf
Some basic data analysis and machine learning tasks
https://github.com/timkam/nn-with-tf
Last synced: 14 days ago
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Some basic data analysis and machine learning tasks
- Host: GitHub
- URL: https://github.com/timkam/nn-with-tf
- Owner: TimKam
- Created: 2018-02-27T14:40:12.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-03-22T14:20:15.000Z (about 8 years ago)
- Last Synced: 2025-01-25T15:24:46.277Z (over 1 year ago)
- Language: Python
- Size: 1.82 MB
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.rst
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README
Sensing and perception example analyses
=======================================
This repository contains some example logs and analyses to play around with sensing and perception algorithms and tools.
Getting started
===============
To run the examples, proceed as follows:
* Install the dependencies (preferably in a `virtual Python environment `__) by running ``pip install -r requirements`` in the repository's root directory.
* Play with the examples in `./src/run_examples.py <./src/run_examples.py>`__.
You can run the convolutional network on FloydHub by executing:
.. code-block::
floyd run --cpu --env tensorflow-1.3 --data /timkam/datasets/cifar/2:my_data "python src/floydhub.py"
If you want to run any of the other networks, adjust the code in `./src/floydhub.py <./src/floydhub.py>`__ accordingly.
To access the graph data used for the presentation run ``tensorboard --logdir=graphs/``.