Name: DeepProduct
Owner: Datascope Analytics
Description: null
Created: 2017-07-12 22:49:24.0
Updated: 2017-07-27 21:06:10.0
Pushed: 2017-10-12 21:27:25.0
Homepage: null
Size: 432382
Language: Jupyter Notebook
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To get started, make sure you're using Python 3 and then create an environment using something like
ualenv env
ce env/bin/activate
install -r requirements.txt
this will install Tensorflow and Keras (amongst other things), so it may take slightly longer than usual.
Link to the image data in the dropbox:
s ~/Dropbox\ \(Datascope\ Analytics\)/DeepProduct/Data/ Data
With the environment active, view the notebook by launching the jupyter server
code will need to download several files of order ~100MB when being first run, but will cache them for future execution.
r those working on developing the tentatively named couch_tinder application**, you should also create a symlink within the `static` directory. Please call it `to_dropbox`, otherwise your web app will be Brokeymon.
cd static ln -s ~/Dropbox\ (Datascope\ Analytics)/DeepProduct/Data/ to_dropbox