carschno/intro-to-deep-learning-archaeology

Learn Deep Learning with Python for Archaeology

Introduction to deep learning

This lesson gives an introduction to deep learning.

Lesson Design

The design of this lesson can be found in the lesson design

Target Audience

The main audience of this carpentry lesson is PhD students that have little to no experience with deep learning. In addition, we expect them to know basics of statistics and machine learning.

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.

Please also familiarize yourself with the lesson design

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.

Teaching this lesson?

We would be very grateful if you can provide us with feedback on this lesson. You can read more about hosting a lesson pilot for an incubator lesson here.

You can notify us that you plan to teach this lesson by creating an issue in this repository (and labeling it with beta) or posting a message in the carpentries Slack Machine Learning channel. Please note the questions below to get an indication of the sort of feedback we expect.

After the workshop, lease create an issue (or comment on the issue you created before teaching) with general feedback on teaching the lesson, and label it with beta. As a template, you can use the following questions:

• How much time did you need for the material? (preferably per episode)
• How much time did you need for the exercises?
• Where there any technical issues that arose during setup?
• Where there any bugs or parts of the lesson code that did not work as expected?
• Where there any incorrect or missing exercise solutions?
• Which parts of the lesson were confusing for learners?
• Which questions did learners ask?

In addition, you are very welcome to add issues or pull requests that address more specific feedback.

Maintainer(s)

Current maintainers of this lesson are

• Dafne van Kuppevelt
• Peter Steinbach
• Colin Sauze
• Djura Smits

Authors

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

Citation

To cite this lesson, please consult with CITATION