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wforfang

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I do something similar but I include informational notes as well (not just action items/todo's).

  * incomplete todo

  ~ completed todo

  - informational
Each day I create a new note, titled by date. Grep the folder for topics or incomplete action items. No tooling or overhead needed. I have never felt the need to syntax "ongoing" or "obsolete" items. It's either open or closed.

I found a "normal mode" solution in a couple minutes after some trial/error. But then I spent 10 minutes trying to find a solution in "hard mode" to no avail. I ultimately gave up and wrote a recursive solver in python. Now I feel better about myself and can continue about my day.

This exact product is mentioned in the article as evidence for clinical/market demand. It also shows precedence for FDA approval of a pretty similar instrument for clinical diagnostics. Although, its interesting to note that the hyperfine MRI (at least ostensibly) seems to do the same thing in a smaller/more portable form factor.

I experimented with a few regularization factors and ultimately settled on a lambda of 0.1. Rather than using a stopping criteria, I ran a fixed number of training iterations (~100) and just eyeballed the cost function results. Since my total training time was fairly brief (~2 minutes, tops), I had the luxury of designing the ANN somewhat heuristically.

Author here: I'm equally surprised it worked so well with such little training data. Each image contained 1 example of each character (18 total characters * 10 images = 180 examples). Having said that, I don't think it would generalize well to other people's handwriting until I provided a (lot) more training data.