4 ms·

How about in 12 kilobytes of assembly? More featureful implementation here: https://github.com/dfouhey/caffe64 https://github.com/dfouhey/caffe64

• p1esk 9y ago
  This is a lot more impressive! I'm puzzled by this bit in FAQ though: Q. It seems that it only does 1D feature vectors? A. Convolution and other inductive biases are only necessary when you have small data.
  • petters 9y ago
    That page is likely not completely serious. They also write that compilers are for losers.
    • taneq 9y ago
      > That page is likely not completely serious. The third line of the readme says "We are finally at our April 1 Release (v4.1.2018)." The date may be relevant. ;)
• Annatar 9y ago
  “Installing a new neural network library is typically a tremendous pain because of onerous dependencies, python version hell, complicated Makefiles, and massive code bloat.” Finally people have started speaking up and doing something about it! May we see more of such mentality in the future, and computer industry will be a better place to work!
  • p1esk 9y ago
    Bullshit. These days installing any major NN framework is pretty much just "pip install X". Unless you want GPU support, in which case it's just slightly more complicated.
    • kranner 9y ago
      The page referenced is an April Fools Day joke. "We are finally at our April 1 Release (v4.1.2018)."
      • Ultimatt 9y ago
        The code suggests otherwise...
      • dimatura 9y ago
        The whole project is tongue-in-cheek, but it's real and it works. Disclaimer: I'm a contributor ;)
  • eeZah7Ux 9y ago
    Developers still underestimate how much code bloat and dependency proliferation harm security and administration. Static linking encourages even more bloat by vendorizing dependencies. Please make your applications modular. Optional dependencies are there for this reason. Most good packaging tools support them.