This page goes into a little more details than the VGSL spec page in the
Tesseract repo:
https://github.com/mldbai/tensorflow-models/blob/master/street/g3doc/vgslspecs.md

Not specific to Tesseract but this guy's articles have good info on
lower-level neural net mechanics in relation to OCR.

On Fri, Sep 6, 2019 at 9:12 AM Purushotham Rao Eravalli <
[email protected]> wrote:

> It will be great if you provide any source where we can get
> detailed information about the architecture used for tesseract and it's
> loss functions or so.
>
> Thanks
>
> On Fri, Sep 6, 2019, 6:39 PM Timothy Snyder <[email protected]> wrote:
>
>> Do you want to learn more about neural networks or specifically, a
>> "summarizing LSTM" in a neural network?
>>
>> On Fri, Sep 6, 2019 at 5:05 AM Youcef <[email protected]> wrote:
>>
>>> Hi,
>>>
>>> In that page https://github.com/tesseract-ocr/tesseract/wiki/VGSLSpecs from
>>> officiel github repo, it talks about "summarizing LSTM" and how we can
>>> manage to recognize image of both variable height and variable width . Is
>>> there a paper, a blog or anything else that provide more explicit
>>> information regarding that, that provide explicit architecture examples? I
>>> didn't succeed in google it, maybe I'm not using the right keywords.
>>> Thanks for any help.
>>>
>>> Regards
>>> Youcef
>>>
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