intro-image-classification-cnn

new lesson on image classification with convolutional neural networks

https://github.com/carpentries-incubator/intro-image-classification-cnn

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new lesson on image classification with convolutional neural networks

README.html

This repository generates the corresponding lesson website from The Carpentries repertoire of
lessons.


Introduction to Image Classification with Convolutional Neural
Networks
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.

Acknowledgements
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


Contributing
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 . This indicates that the maintainers will
welcome a pull request fixing this issue.


Maintainer(s)
Current maintainers of this lesson are

FIXME
FIXME
FIXME



Authors
A list of contributors to the lesson can be found in AUTHORS
Note


Citation
To cite this lesson, please consult with CITATION

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