https://github.com/michellebonat/tf_text_classify
The classic movies redux with machine learning using TensorFlow and Keras.
https://github.com/michellebonat/tf_text_classify
keras machine-learning numpy python tensorflow
Last synced: 10 months ago
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The classic movies redux with machine learning using TensorFlow and Keras.
- Host: GitHub
- URL: https://github.com/michellebonat/tf_text_classify
- Owner: michellebonat
- License: mit
- Created: 2018-07-19T06:02:05.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-02-12T20:06:45.000Z (almost 7 years ago)
- Last Synced: 2025-04-22T10:44:18.576Z (10 months ago)
- Topics: keras, machine-learning, numpy, python, tensorflow
- Language: Python
- Homepage:
- Size: 16.6 KB
- Stars: 11
- Watchers: 8
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# tf_text_classify
The classic exploration of movie reviews data with machine learning using TensorFlow and Keras. This is very largely based on a tutorial in the Tensor Flow documentation.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
- Python 2.7+ (or Python 3), this example uses 2.7.14 as I type this
- TensorFlow
- Keras
- Numpy
What I've done here and I recommend you do as well is to install Python via Anaconda. Anaconda comes with all of the packages mentioned above already installed.
* [Anaconda installation guide](https://docs.continuum.io/anaconda/install)
If you already have Anaconda installed, make sure you have the most updated version. If you don't know which package you are on, or if you are just feeling lazy, type `$ conda update` and it will return what you should type into your command line to update Anaconda.
### Getting started
- Start a new file and name it (for example your_file_name.py)
- Follow the instructions in the tf_text_classify.py file that appear to the right of the # symbols
## Built With
- Python
- TensorFlow
- Keras
- Numpy
## Contributing
This was built my Michelle Bonat. It's not currently open for contributions, but I would love to hear any comments and suggestions about how you have modified this code.
Contact me through the methods noted below.
## Authors
* **Michelle Bonat** - *Initial work* - Contact me through [michellebonat.com](http://michellebonat.com/) or on [GitHub](https://github.com/michellebonat)
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.