I have some basic knowledge about deep learning methods (fully connected and convolutional NNs). I would like to expand my knowledge of deep learning which could be beneficial for an operations researcher. What resource/book would you suggest for reading?


1 Answer 1


This is the book that I used for my class at VT: https://www.deeplearningbook.org/

This is another book that was recommended there: https://d2l.ai/

This book on online learning is also useful: https://www.cs.huji.ac.il/~shais/papers/OLsurvey.pdf "Online Learning and Online Convex Optimization" by Shai Shalev-Shwartz.

Some papers I found helpful from Van Hentenryck: "Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method", "Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods".

Also, this paper is helpful: https://arxiv.org/pdf/1705.03341.pdf "Stable Architectures for Deep Neural Networks"

If you have a graph background: https://web.njit.edu/~ym329/dlg_book/

  • $\begingroup$ Thanks for sharing this. The 4th mentioned references are very interesting. $\endgroup$
    – A.Omidi
    Commented Jul 14, 2023 at 10:32

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.