Hi Marcus, This is a followup to http://knife.lugatgt.org/pipermail/mlpack/2016-November/002795.html (i am sorry for being so late).
I went through your writeup from last year that Ryan mentioned. I agree with you that "a good theoretical understanding of what these models do and why they work is a necessity to be able to implement these well." I am currently doing a neural network course on coursera ( https://www.coursera.org/learn/neural-networks). My target is to finish that course by the second week of January. After that i will go through the papers that you mentioned in your writeup. I am yet to check out the current neural network code implemented in mlpack. I noticed you opened a big PR for revamping ANN modules yesterday! I will check them out soon. I will let you know if i need any help with any concept. *****sidenote***** I noticed that there has been a lot of interest regarding GSoC 2017 on IRC lately. If mlpack gets selected as a participating organization, then i would definitely be interested in continuing the "Essential Deep Learning Modules" project as part of GSoC. A GSoC project with a popular library will help me gain valuable experience from the community. Thank you.
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