The Programming Historian has received the following proposal for a lesson on 'Creating Deep Neural Networks for Regression Analysis Proposal' by @nabsiddiqui. The proposed learning outcomes of the lesson are:

• Investigate how machine learning can provide humanities scholars new tools for image analysis.
• Generate a deep neural network for regression analysis that provides a range of outputs for
  different paintings.
• Assess the role that different layers, architectures, and tasks of a neural network function.

In order to promote speedy publication of this important topic, we have agreed to a submission date of no later than 24/01/2022. The author(s) agree to contact the editor in advance if they need to revise the deadline.

If the lesson is not submitted by 24/01/2022, the editor will attempt to contact the author(s). If they do not receive an update, this ticket will be closed. The ticket can be reopened at a future date at the request of the author(s).

The main editorial contact for this lesson is @tiagosousagarcia.

Our dedicated Ombudsperson is (Ian Milligan - http://programminghistorian.org/en/project-team). Please feel free to contact him at any time if you have concerns that you would like addressed by an impartial observer. Contacting the ombudsperson will have no impact on the outcome of any peer review.