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How was wondering if there is a way to make it run a very simple feed forward neural network with only dense layers.
Is there a possibility or I have to loose all hopes
Hi @EscVM ,
Thanks for reaching out. Do you want to do this from scratch? If so making it from scratch should be possible, but I think it would be easier to re-train a network instead. In case you are interested in doing this on Caffe there is an NCSDK blog that goes through the re-training of a network. Find the blog here https://movidius.github.io/blog/deploying-custom-caffe-models/.
Please let me know if you have any additional questions.
what I would like to do is to deploy on Movidius only a feed forward neural netwok without convolutional layers, but only simple plain dense layers.
What you are trying to do should be possible with the NCSDK and it should work, please let us know if you have any other questions.