서랍장
kubeflow 관련 링크 본문
머신러닝을 공부하면서 어떻게 deployment를 할지에 대해 고민해보게 되었다.
kubeflow pipeline 예제(example) - pipeline metrics 출력과 condition 체크하기
포스팅 개요 이번 포스팅은 kubeflow 예제(kubeflow example)를 주제로 다룹니다. 지난 포스팅에 이어서 이번에는 kubeflow에서 실행시킨 machine learning 혹은 deep learning 모델에서 나온 metrics를 ( evaluat..
lsjsj92.tistory.com
everythingwhat.com/goto/130881
www.kaggle.com/andradaolteanu/pytorch-rnns-and-lstms-explained-acc-0-99/notebook
🔥PyTorch RNNs and LSTMs Explained (Acc 0.99)
Explore and run machine learning code with Kaggle Notebooks | Using data from Digit Recognizer
www.kaggle.com
They are an unsupervised learning method, although technically, they are trained using supervised learning methods, referred to as self-supervised. They are typically trained as part of a broader model that attempts to recreate the input.
Yorko/dl_in_nlp_deeppavlov_cs224n_spring2020
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n - Yorko/dl_in_nlp_deeppavlov_cs224n_spring2020
github.com
everythingwhat.com/goto/130881
lstm-encoder에 관해 조만간 정리해서 올리도록 하겠다. transformer와 함께
:)
'big-data' 카테고리의 다른 글
어떻게 geo-pair clustering을 잘 할 수 있을까? (0) | 2021.04.26 |
---|---|
transformer 정리 (0) | 2021.04.23 |
Machine-learning: svm kernel trick & gradient descent (0) | 2021.04.15 |
공부자료 (0) | 2021.04.13 |
선형대수-참고자료 (0) | 2021.04.13 |