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Update db.rst
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docs/modules/db.rst

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@@ -113,7 +113,7 @@ A fully working example with mnist training set is the _TensorLabDemo.ipnb_
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Connect to database
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^^^^^^^^^^^^^^^^^^^^^^^
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To use TensorDB mongodb implmentaiton, you need pymongo client.
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@@ -144,7 +144,7 @@ it is very easy for us to evaluate different model architecture.
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log and parameters
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^^^^^^^^^^^^^^^^^^^^^^^
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The basic application is use TensorDB to save the model parameters and training/evaluation/testing logs.
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to use tensorDB, this can be easily done by replacing the print function by the db.log function
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Model Architecture and Jobs
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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TensorDb also supporting the model architecture and jobs system
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in the current version, both the model architecture and job are just simply strings.
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it is up to the user to specifiy how to convert the string back to models or job.
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Database Interface
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^^^^^^^^^^^^^^^^^^^^^^^
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The trainning set is managed by a seperate database.
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each application has its own database.

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