This repository generates the corresponding lesson website from The Carpentries repertoire of lessons.
This lesson is designed for Software Carpentry users who have completed Plotting and Programming in Python and are looking to jump straight into image classification. We recognize that this jump is quite large and have done our best to provide the content and code to perform these types of analyses.
Note the first episode runs through all of the steps necessary to perform an image classification in order to get participants excited about the topic. By design this episode leaves out a lot of detail and will spark a lot of questions. We follow this introductory episode with an episode on how python sees images as this topic is not covered in PPP. The remaining episodes return to the steps glossed over in the introduction and take a closer look at each in more detail.
This lesson was sourced from content in the Learn Deep Learning with Python and Image Processing with Python lessons and wordsmithed with help from ChatGPT
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag 
Current maintainers of this lesson are
- FIXME
- FIXME
- FIXME
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION