The example code & slide deck for a talk I gave on getting started with AI. A link to the unlisted YouTube video is available upon request (because it contains my face, and this is a public repo) - see [my website](https://starbeamrainbowlabs.com/) for ways to get in touch.
This is the `post-talk-improvements` branch, which contains a number of adjustments and changes to this codebase. These changes improve the model, but make it more complex to understand and hence are kept in a separate branch to allow regular users to look at the simpler / easier to understand codebase.
The `categories.txt` file should contain 1 category name per line (the order matters, as the line numbers - starting from 0 - are used as the numerical ids when training the model).
The result will be written to the standard output. Extra debugging data is written to the standard error, but this can be ignored.
## Contributing
Contributions are very welcome! Git patches are preferred - I can move this repo to GitHub if that makes it easier. Please mention in your contribution that you release your work under the MPL-2.0 (see below).
This code is released under the Mozilla Public License 2.0. The full license text is included in the `LICENSE` file in this repository. Tldr legal have a [great summary](https://tldrlegal.com/license/mozilla-public-license-2.0-(mpl-2)) of the license if you're interested.