-
Hi everyone, i have a simple question: if i look at the summary of every model in larq, it looks like that computation for batch normalization has been binarized. I would like to know how this is done…
-
Thanks to the implement of XNOR by CUDA and pytorch, it really helps me. I'm now wondering if the implementation can really speed up the training process. After doing some experiment about MNIST, the …
-
Does the Binarize() function use STE？
I haven't seen the STE algorithm in this whole project.
-
### Feature motivation
Due to the smaller size and lower compute time can this be implemented in the application of object detection?
### Feature description
### Feature implementation
-
### This paper uses neural nets to recognize company logos on billboards, uses flikr as a source of learning.
- https://www.cc.gatech.edu/~hays/7476/projects/Punarva_Prabhudev.pdf
-
https://github.com/tmbdev/teaching-dca
Thomas_Breuel 开授的课程
1.转换成pdf
2.pdf转换成html
3.翻译
-
Both tool participants and outsiders such as industry partners can propose benchmarks. All benchmarks must be in .onnx format and use .vnnlib specifications, as was done last year. Each benchmark must…
-
### Discussed in https://github.com/Xilinx/finn/discussions/937
Originally posted by **pkdeep** December 10, 2023
Hello I am trying to run BBN-PYNQ example notebook with TFC (for MNIST data) n…
-
Please close this if it is inappropriate
It seems that benchmarking of [RNN/LSTM](https://www.youtube.com/watch?v=56TYLaQN4N8) is a worthwhile thing to do now as these things are getting amazing resu…
ghost updated
9 years ago
-
- [ ] [classifiers/README.md at main · blockentropy/classifiers](https://github.com/blockentropy/classifiers/blob/main/README.md?plain=1)
# classifiers/README.md
## Fast Classifiers for Prompt Rout…