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Getting an accuracy prediction for our own dataset #78
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Memristor Discovery V2 uses a chip with 16 discrete memristors to create a tiny neuron with 8 differential pair synapses. No, you cannot use that for accurate classification of MNIST. |
We did however do a more basic classify experiment, which you can read about here: https://github.com/knowm/memristor-discovery/blob/develop/src/main/resources/help/Classify12.md Also we have a video on it: https://vimeo.com/254209959. |
Dear Professor, hello. First of all, thank you very much for taking the
time to answer my question. I watch your videos and I am also subscribed to
your YouTube channel. As far as I understand, we cannot upload our own
dataset and perform prediction tasks. However, in one of your videos, you
imported a file with a DIMACS extension and conducted a trial with it, so I
was wondering if we could work with different datasets for that. Thank you
again, and I wish you good work.
Tim Molter ***@***.***>, 16 May 2024 Per, 21:32 tarihinde
şunu yazdı:
… We did however do a more basic classify experiment, which you can read
about here:
https://github.com/knowm/memristor-discovery/blob/develop/src/main/resources/help/Classify12.md
Also we have a video on it: https://vimeo.com/254209959.
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Hello. Can we run our own datasets on this system? For example, can we load the MNIST dataset into this system and get an accuracy prediction? Thank you very much in advance for your interest.
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