Hello, there,

I already asked this question in the Tensorflow group and there I was 
referred to Protocol Buffer. But my question is still unanswered there. 
Tensorflow itself already generates the appropriate data for me, I just 
have to be able to read it out manually. 
See the discussion at 
https://groups.google.com/a/tensorflow.org/forum/#!topic/discuss/YMlRKvaEAoU

Thanks a lot 

Phil

Am Dienstag, 4. Dezember 2018 04:27:01 UTC+1 schrieb Adam Cozzette:
>
> You might want to reach out to the TensorFlow folks with your question. I 
> haven't really worked with TensorFlow much myself but it sounds to me like 
> what you're asking is more about TensorFlow than protobuf.
>
> On Mon, Dec 3, 2018 at 2:54 PM Philipp Kraus <[email protected] 
> <javascript:>> wrote:
>
>> Hello, there,
>>
>> I am currently working with Tensorflow for the first time and as far as I 
>> know Tensorflow uses Protocol Buffers to store the data. I work on IoT 
>> devices in a protected network and I have to deliver the data of a 
>> Tensorflow DNNClassifier to external systems. These may be databases, but I 
>> may also need to communicate with industrial controls as a byte stream. 
>> Especially in this case I can only transfer primitive data like Int, Float, 
>> Char etc. If I have now trained a Tensorflow DNNClassifier, a local 
>> directory with the stored data will be created for me and I would now like 
>> to read and process this data in native Python data types such as a Dict or 
>> similar. How can I do this?
>> I also get a model as a native byte stream and would have to use it again 
>> to generate a DNNClassifier. How can I realize this?
>>
>> I am currently quite "new" with Tensorflow and Protocol Buffers.
>>
>> Thank you very much for your help.
>>
>> Phil
>>
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