I have a working neural network model trained in nvidia DIGITS.
[DIGITS is is a webapp for training deep learning models based on Caffe.]
Then i export the model for use in Caffe.
This produces 4 files which i will provide [[login to view URL], [login to view URL], [login to view URL], and [login to view URL]].
i need to have these files imported to Caffe to run in the web_demo as described at :
[login to view URL]
NOTE: [login to view URL] will need to be converted to .npy format described at:
[login to view URL]
[see sg90 commented on Nov 12, 2014]
The deliverable for this project is to show how to get the exported DIGITS model to run in the Caffe web_demo.
Hello, i am did three caffe related job for you. I propose to do this job inside existing vagrant box. For start i need all files as described: [[login to view URL], [login to view URL], [login to view URL], and [login to view URL]].
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My Python and shell scripting are top-notch. Although I'm not (yet) familiar with caffe, I am confident I will be able to complete this task as the requirements are pretty straightforward.
I am assuming the latest version of caffe is being used (from github), if not, specify the preferred version.