• The Current State of Automated Machine Learning

Paper

Post / Article

• Automating automation: framework for developing deep learning models

• Overview of Hyperparameter Tuning:

• Design by evolution: 딥네트워크 아키텍처와 하이퍼파라미터 등을 설정하는데에 Evolutionary Computing, Genetic Algorithm 등이 다시 부각이 되고 있죠? PyTorch를 이용해서 이 내용들을 설명하면서 간단한 예제

• Accelerating Deep Learning Research with the Tensor2Tensor Library: open-source system for training deep learning models in TensorFlow.

• Automate your Machine Learning in Python – TPOT and Genetic Algorithms

• AutoML을 이용한 Architecture Search 소개 및 NASNet 논문 리뷰: 수아랩, 2018.09.28

Material (ppt, pdf)

• automl & autodraw: ppt

Implementation

• Evolution Strategies as a Scalable Alternative to Reinforcement Learning: Keras구현코드, Evostra: Evolution Strategy for Python: Evolutio Strategy (ES) is an optimization technique based on ideas of adaptation and evolution.

• OptML : 깃허브

• Optuna: A Next-generation Hyperparameter Optimization Framework : 2019