the link for my second sentence ^ https://githubharald.github.io/

On Fri, Sep 6, 2019 at 9:24 AM Timothy Snyder <[email protected]> wrote:

> 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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>>>>
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>

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