Hacker GitHub

← All repos

BVLC/caffe

View on GitHub ↗ ★ 34,553 C++

Caffe: a fast open framework for deep learning.

25 mentions on Hacker News by 18 people: 8 stories, 17 comments · first 2014-03-28 · latest 2018-09-12

Mentions per year 25 mentions · busiest year 2016 (7)
20082026
  1. …al., 2014) of the VGG19 deep neural network (DNN) model (Simonyan & Zisserman, 2015; available from https://github.com/BVLC/caffe/wiki/Model - Zoo) . All visual images were resized to 224 × 224 pixels to compute outputs by the VGG19 model…
  2. …of pre-trained models. The submitted site looks like a borrowed idea (+ borrowed name). [1]: https://github.com/BVLC/caffe/wiki/Model-Zoo
    comment by andyonthewings · 2018-06-14 · in Model Zoo – Pretrained deep learning models
  3. …fields. Apart from the Model Zoo[1], are there any other sites for sharing serialized models? [1] https://github.com/BVLC/caffe/wiki/Model-Zoo
  4. …CPU) Tensorflow either uses CPU or CUDA (Not even AMD, but the support is coming for openCL) [1]: https://github.com/BVLC/caffe/tree/opencl
  5. Is bringing the OpenCL caffe backend[1] to Caffe2 on the roadmap? [1] https://github.com/BVLC/caffe/tree/opencl
  6. …of the speed of equivalent NVidia hardware using CuDNN 4/5, mostly due to unoptimised kernels - https://github.com/BVLC/caffe/tree/opencl
  7. Nop, check the stats of Caffe for instance: https://github.com/BVLC/caffe This is much older than the 9th of August.
    comment by pilooch · 2016-08-11 · in Top Deep Learning Projects
  8. Caffenet also offers a set of pre-trained models in their "model zoo": https://github.com/BVLC/caffe/wiki/Model-Zoo
  9. Pretty sure most frameworks support "one weird trick" style learning. Eg Caffe: https://github.com/BVLC/caffe/blob/master/docs/multigpu.md
  10. …has had a lot of work recently and is usable now. Still a bit slower than with CUDA/CuDNN but works https://github.com/BVLC/caffe/tree/opencl
  11. Caffe has an OpenCL backend - https://github.com/BVLC/caffe/tree/opencl
    comment by dharma1 · 2016-03-13 · in GNU Gneural Network
  12. …OpenCL port Caffe has abysmal performance on AMD GPUs (see Caffe-CLGreenTea on Soumith's chart). https://github.com/BVLC/caffe/pull/2195 Intel isn't even on the map yet, and there's no good training code for FPGAs. And ASICs? Maybe when…
  13. I would love to see AMD jump in the ring, and there's even an OpenCL port of Caffe in progress: https://github.com/BVLC/caffe/pull/2610 But its performance is less than half that of a GTX 980 running CUDA. Still, AMD is silly not to try…
    comment by varelse · 2015-08-10 · in Nvidia Digits DevBox
  14. …used for handwriting, seems like OCR of typefaces would work just the same with a typeface dataset. https://github.com/BVLC/caffe/tree/dev/examples/mnist Here is the only other OCR example with caffe i could find:…
    comment by dharma1 · 2015-06-25 · in Ask HN: Open source OCR library?
  15. …code). Some of the bigger names in Deep Learning: (C++ w/ Python & Matlab support) Caffe: https://github.com/BVLC/caffe Their talk has links to a lot of other implementations. (Python) PyLearn2: https://github.com/lisa-lab/pylearn2 Another…
  16. I found https://github.com/BVLC/caffe to be 20 to 40x faster for image classification when comparing with Overfeat, which uses Torch - YMMV (The type of BLAS you use makes a gigantic difference. MKL was 2x faster than ATLAS and 5x faster…
  17. …1000 categories the pre-trained model knows about. [1] http://caffe.berkeleyvision.org/ [2] https://github.com/BVLC/caffe [3] http://caffe.berkeleyvision.org/getting_pretrained_models.ht... [4] http://nbviewer.ipython.org/github/BVLC/caffe/…