3 ms·
All of the MNIST accuracy scores mentioned in these links are terrible, even by the standards of untuned novelty algorithms.
by jimrandomh 9y ago
All of the MNIST accuracy scores mentioned in these links are terrible, even by the standards of untuned novelty algorithms.
- cs702 9y agoOf course, because the nets we're talking about are really, really tiny. As you can see for yourself in figure [1]c, the memristor net used in that paper has only 15 units (yes, fifteen): five memristors in the "reservoir" and 10 output neurons. The entire net is one linear transformation followed by a SoftMax, with a total of 5 × 10 = 50 parameters. It's an impressive result that only hints at the things that will be possible when we have nets with millions or billions of memristor units. [1] https://www.nature.com/articles/s41467-017-02337-y/figures/1 https://www.nature.com/articles/s41467-017-02337-y/figures/1
- jimrandomh 9y agoI don't think it says anything about what a million or billion memristor network would be able to do. I don't think they scale in the same way normal machine learning algorithms do.