CNN, Keras, Hyperparameter

keras를 이용한 cnn구현 및 hyperparameter tuning

- 아 브런치.. 쓴 글 자꾸 날아가서 못쓰겠네; 참고한 링크들만 공유함

- 급하게 mnist 분류 모델과 hyperparameter optimization method 비교 예시를 만들어야 했음

- 기왕 하는 것 이미지니 cnn으로, keras와 scikit learn으로 모델 구현과 튜닝을 쉽게 하면 되겠다고 생각

- 부득이하게 여기저기 이동해야 했어서 colab상에서 가뿐하게 개발함, 맥북이랑 윈도우데탑에 세팅해놓은 거 무쓸모 됨...

- 공개된 정보들도 많고 개발환경도 점점 좋아지고~ 세상 참 좋아

https://neurowhai.tistory.com/153

[Keras] GAN으로 MNIST 이미지 생성하기

https://3months.tistory.com/56

Keras - MNIST 데이터로 CNN(Convolutional Neural Network) Training

https://pinkwink.kr/1121

[Keras] MNIST 데이터 셋을 이용한 필기 글씨에 대한 CNN Tutorial

https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py

keras-team/keras

https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/  

https://byeongkijeong.github.io/Keras-cnn-tutorial/

Keras CNN tutorial

http://adventuresinmachinelearning.com/keras-tutorial-cnn-11-lines/

Keras tutorial - build a convolutional neural network in 11 lines - Adventures in Machine Learning

http://research.sualab.com/introduction/practice/2019/02/19/bayesian-optimization-overview-1.html

Bayesian Optimization 개요: 딥러닝 모델의 효과적인 hyperparameter 탐색 방법론 (1)

https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV

sklearn.model_selection.GridSearchCV — scikit-learn 0.20.3 documentation

https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html

sklearn.model_selection.RandomizedSearchCV — scikit-learn 0.20.3 documentation

http://ethen8181.github.io/machine-learning/keras/nn_keras_hyperparameter_tuning.html

nn_keras_hyperparameter_tuning

https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/

Practical guide to hyperparameter searching in Deep Learning

https://www.kaggle.com/ksjpswaroop/parameter-tuning-rf-randomized-search

Parameter Tuning - RF - Randomized Search

https://blogs.oracle.com/meena/simple-neural-network-model-using-keras-and-grid-search-hyperparameterstuning

Simple Neural Network Model using Keras and Grid Search HyperParametersTuning

https://0902.tistory.com/8

hyperparameter tuning - random search & grid search

https://m.blog.naver.com/PostView.nhn?blogId=chacagea&logNo=221301642313&proxyReferer=https%3A%2F%2Fwww.google.com%2F

[Deep Learning] 적절한 Hyper parameter 설정에 관하여..

http://aikorea.org/cs231n/neural-networks-3/#hyper

CS231n Convolutional Neural Networks for Visual Recognition

http://www.engear.net/wp/hyper-paramertesr-%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D/

hyper parameters (머신러닝) - EnGear

https://umbum.tistory.com/222

인공신경망 ( ANN ) #6-3 최적화 : 오버피팅 방지( weight decay, droupout ) / 하이퍼파라미터 최적화

https://sacko.tistory.com/42

문과생도 이해하는 딥러닝 (8) - 신경망 학습 최적화

https://m.blog.naver.com/PostView.nhn?blogId=laonple&logNo=220571820368&proxyReferer=https%3A%2F%2Fwww.google.com%2F

[Part Ⅲ. Neural Networks 최적화] 8. Hyperparameters Optimization [1] - 라온피플 머신러닝 아카데미 -

https://kolikim.tistory.com/53?category=733477

#6-(2) 합성곱 신경망(CNN) : 합성곱 계층

https://m.blog.naver.com/PostView.nhn?blogId=laonple&logNo=220576650094&proxyReferer=https%3A%2F%2Fwww.google.com%2F

[Part Ⅲ. Neural Networks 최적화] 8. Hyperparameters Optimization [2] - 라온피플 머신러닝 아카데미 -

http://blog.naver.com/PostView.nhn?blogId=cjh226&logNo=221408767297&categoryNo=16&parentCategoryNo=0&viewDate=&currentPage=1&postListTopCurrentPage=1&from=section

Hyperparameter optimization