>lstmtraining --model_output ./layer_from_deva/layer --continue_from
./layer_from_deva/Devanagari.lstm --append_index 5 --net_spec '[Lfx192
O1c1]' --traineddata ./sanplustrain/san/san.traineddata --train_listfile
./sanplustrain/san.training_files.txt --eval_listfile
./sanpluseval/san.training_files.txt --debug_interval 0 --max_image_MB 6000
--max_iterations 500
Loaded file ./layer_from_deva/Devanagari.lstm, unpacking...
Warning: LSTMTrainer deserialized an LSTMRecognizer!
Continuing from ./layer_from_deva/Devanagari.lstm
Appending a new network to an old one!!Warning: given outputs 1 not equal
to unicharset of 149.
Num outputs,weights in Series:
  Lfx192:192, 197376
  Fc149:149, 28757
Total weights = 226133
Built network:[1,48,0,1[C3,3Ft16]Mp3,3Lfys64Lfx64Lrx64Lfx192Fc149] from
request [Lfx192 O1c1]
Training parameters:
  Debug interval = 0, weights = 0.1, learning rate = 0.001, momentum=0.5


I  have not tried changing the parameters even with replace layers. Do
provide feedback on your experience,


On Tue, Aug 21, 2018 at 12:00 PM Jacob Biros <j.biros@churadata.okinawa>
wrote:

> Thank you for the prompt response!
>
> On Tue, Aug 21, 2018 at 1:14 PM, Shree Devi Kumar <shreesh...@gmail.com>
> wrote:
>
>> If you want to change parameters, please look at the replace layers
>> option. With fine tuning you cannot change them.
>>
>> On Tue 21 Aug, 2018, 7:27 AM , <j.biros@churadata.okinawa> wrote:
>>
>>> Is it possible to change the parameters when Fine Tuning?
>>>
>>> The documentation says "Fine tuning is the process of training an
>>> existing model on new data without changing any part of the network", but
>>> does that mean that parameters like momentum, learning rate, etc.  cannot
>>> be changed?
>>>
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-- 

____________________________________________________________
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com

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