ReLU_ANN_MILP
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
How to download and setup ReLU_ANN_MILP
Open terminal and run command
git clone https://github.com/process-intelligence-research/ReLU_ANN_MILP.git
git clone is used to create a copy or clone of ReLU_ANN_MILP repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with ReLU_ANN_MILP https://github.com/process-intelligence-research/ReLU_ANN_MILP/archive/master.zip
Or simply clone ReLU_ANN_MILP with SSH
[email protected]:process-intelligence-research/ReLU_ANN_MILP.git
If you have some problems with ReLU_ANN_MILP
You may open issue on ReLU_ANN_MILP support forum (system) here: https://github.com/process-intelligence-research/ReLU_ANN_MILP/issuesSimilar to ReLU_ANN_MILP repositories
Here you may see ReLU_ANN_MILP alternatives and analogs
svgo osprey laravel-compile-views chillout MTuner game-programming-patterns prepack closure-compiler llvm clean-css simplify imagemin webpackmonitor reactopt BayesianOptimization nnvm webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer