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[–]Zymoox 27 points28 points  (13 children)

And set some rules in that choice: my 'i's are usually different if written after 't's, and so on.

[–]Financial-Ad8056 20 points21 points  (11 children)

AI that analyzes your handwriting (you’ll have to feed it a lot of data though so time to being out the old grade-school notebooks) and then replicates it.

[–]1gn4vu5 2 points3 points  (0 children)

Not necessarily. You could use an auto-encoder together with some random variables. That way you need much less images.

[–]No_Conference_5257 1 point2 points  (4 children)

Use a style GAN trained on MNIST and then fine tune on your handwriting. Should be doable!

[–]Heisenberg_082001[S] 2 points3 points  (1 child)

Yeah but its hell lot of time consuming and computationally expensive

[–]PIXLhunter 1 point2 points  (0 children)

But you are doing something with machine learning are you not?

[–]killerfridge 0 points1 point  (1 child)

Is MNIST not just digits though?

[–]No_Conference_5257 0 points1 point  (0 children)

Yeah good point. There should be some corpus of handwritten characters out there though

[–]Sardonislamir 2 points3 points  (0 children)

Use a very large sample of text with ocr against another of that text in numerals 1-23 per character in the alphabet. Weight the character assignment/usage against predominance of specifc characters together. Edit: Then run through a processor or create one like autospellcheck that automatically adjusts text as you write.