Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
File Explorer
Download Latest Version (.zip)- compile.sh
- network.c
- network.h
- pbp.pyx
- PBP_net.py
- pnorm.c
- pnorm.h
- setup.py
- boston_housing.txt
- test_PBP_net.py
- network.py
- network_layer.py
- pbp.py
- PBP_net.py
- prior.py
- boston_housing.txt
- test_PBP_net.py
- LICENSE
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/HIPS/Probabilistic-Backpropagation
Downloads the entire project code from GitHub to your computer.
cd Probabilistic-Backpropagation
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
pip install .
Installs the package published on PyPI directly β no need to clone the source.
python <μ€νν νμΌλͺ
>.py # READMEμμ μ νν μ€ν νμΌλͺ
μ νμΈνμΈμ
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
Was this content helpful?
(0 ratings)