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deeplearning.rst

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@@ -12,6 +12,8 @@ GPU
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******
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Tensorflow is able to run faster and more effeciently using Nivida's GPU ``pip install tensorflow-gpu``.
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CUDA as well cudnn are also required. It is best to run your models in Ubuntu as the compliation of
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some pretrained models are easier.
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Preprocessing
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******************

docker.rst

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@@ -271,6 +271,9 @@ Commands
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+------------------------------------------------------------------+--------------------------------------------------------------------------+
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| ``docker run -v /local/storage/folder:/image/data/folder mysql`` | (-v = volume mapping) all data will be destroyed if container is stopped |
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+------------------------------------------------------------------+--------------------------------------------------------------------------+
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| ``docker run -p 5000:5000 --restart always comply`` | to auto restart container if it crashes |
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+------------------------------------------------------------------+--------------------------------------------------------------------------+
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.. figure:: images/docker_cmd.PNG
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:width: 700px
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| ``docker ps -a`` | (-a = all) show status of all images including those that had exited |
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+-------------------+----------------------------------------------------------------------+
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**Remove Intermediate Images**
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+------------------------+----------------------------------------------------------------------------------------+
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| ``docker image prune`` | delete intermediate images tagged as <none> after recreating images from some changes |
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+------------------------+----------------------------------------------------------------------------------------+
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**Remove Intermediate Images/Containers**
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+----------------------------+----------------------------------------------------------------------------------------+
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| ``docker image prune`` | delete intermediate images tagged as <none> after recreating images from some changes |
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+----------------------------+----------------------------------------------------------------------------------------+
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| ``docker container prune`` | delete stopped containers |
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+----------------------------+----------------------------------------------------------------------------------------+
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**View Docker Image Directories**
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