Neural Network Intelligence
automate machine learning lifecycle
Feature
- Feature Engineering
- Neural Architecture Search
- Hyperparameter Tuning
- Model Comperssion
Windows
# install python -m pip install --upgrade nni # test git clone -b v1.8 https://github.com/Microsoft/nni.git nnictl create --config nni/examples/trials/mnist-tfv1/config_windows.yml --port 9999
Github
microsoft/nni
NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture Search, Hyperparameter Tuning and Model Compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.), DLWorkspace (aka.
https://github.com/microsoft/nni
AutoML 도구 Microsoft NNI
NNI(Neural Network Intelligence)은 아래의 기능 들의 자동화를 도와주는 강력한 도구 Feature Engineering Neural Architecture Search Hyperparameter Tuning Model Comperssion AutoML(Automated Machine Learning)을 실험들을 관리 로컬머신, 원격서버, OpenPAI, Kubeflow, K8S, 클라우드 같은 다른 학습 환경에서 최적의 신경망 구조, 하이퍼파라미터들을 찾기 위해 알고리즘을 튜닝 학습 실험들을 관리하기 위해 Commnd Line과 Web UI
https://eunguru.tistory.com/241
