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dgschwend / zynqnet

Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
GNU General Public License v3.0
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Can we train your model for zynqnet on any supercomputer cluster with Digits installed on it? What do you suggest? #44

Closed ghost closed 6 years ago

ghost commented 6 years ago

I don't have the required computing resources so I am thinking of getting access to some supercomputer to train the model. I was wondering if your model with datsets can be trained on it if it has DIGITS NVIDIA module available on it?

dgschwend commented 6 years ago

Hi sara1271, Zynqnet uses only standard layers, so any (super)computer with Caffe installed should be usable for training. DIGITS itself is not absolutely needed, but very helpful for managing and evaluating the training. Good luck!

Am 15.04.2018 um 20:45 schrieb sara1271 notifications@github.com:

I don't have the required computing resources so I am thinking of getting access to some supercomputer to train the model. I was wondering if your model with datsets can be trained on it if it has DIGITS NVIDIA module available on it?

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ghost commented 6 years ago

Thank you for replying back. I am trying to shrink your model as I'm planning on using the PYNQ_Z1 board with Zynqnet which has 630 Block RAM. Any tips or suggestions would be much appreciated.