data_analysis:certification

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data_analysis:certification [2022/03/20 01:27] – created prgramdata_analysis:certification [2025/07/07 14:12] (current) – external edit 127.0.0.1
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 https://cafe.naver.com/sqlpd https://cafe.naver.com/sqlpd
  
 +
 +==== DAsP 데이터아키텍쳐 자격검정 ====
 +https://dataonair.or.kr/db-tech-reference/d-guide/da-guide/
  
 ==== Tensorflow Developer Certification ==== ==== Tensorflow Developer Certification ====
 +https://www.tensorflow.org/extras/cert/TF_Certificate_Candidate_Handbook_ko.pdf?hl=ko
 +===환경설정===
 +  * https://www.tensorflow.org/extras/cert/Setting_Up_TF_Developer_Certificate_Exam.pdf 에 맞는 버전으로 설치 (Python, Pycharm, 라이브러리들)
 +    * CUDA 오류 : https://sheepone.tistory.com/126 설치 후 시스템 환경설정에서 PATH 변수에 경로를 추가해주어야 함.
 +
 +  * Tensorflow버전에 따른 CUDA, CUDNN 맞는 버전 : https://www.tensorflow.org/install/source_windows?hl=en#gpu
 +  * failed to create cublas handle:CUBLAS_STATUS_ALLOC_FAILED 에러 : https://blog.naver.com/PostView.nhn?blogId=euue717&logNo=222119993339
 +<code python>
 +import tensorflow as tf
 +gpu = tf.config.experimental.list_physical_devices('GPU') # 내 컴에 장착된 GPU를 list로 반환
 +try:
 +    tf.config.experimental.set_memory_growth(gpu[0], True) # GPU Memory Growth를 Enable
 +except RuntimeError as e:
 +    print(e) # Error 발생하면 Error 내용 출력
 +</code>
 +
 +
 +
 +  * 
 +
 ===응시후기=== ===응시후기===
 +[[https://phil-baek.tistory.com/entry/%ED%85%90%EC%84%9C%ED%94%8C%EB%A1%9C%EC%9A%B0-%EA%B0%9C%EB%B0%9C%EC%9E%90-%EC%9E%90%EA%B2%A9%EC%A6%9D-%EA%B7%B8%EA%B1%B0-1%EC%A3%BC%EC%9D%BC%EC%9D%B4%EB%A9%B4-%EC%B7%A8%EB%93%9D-%EA%B0%80%EB%8A%A5%ED%95%B4-TensorFlow-Developer-Certificate|1주일이면 취득해]]
 https://sol2gram.tistory.com/72 https://sol2gram.tistory.com/72
 https://leunco.tistory.com/41?category=893001 https://leunco.tistory.com/41?category=893001
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   * Coursera: DeepLearning.AI TensorFlow Developer lecture note and assignments for tensorflow certificate.   * Coursera: DeepLearning.AI TensorFlow Developer lecture note and assignments for tensorflow certificate.
     * https://github.com/seraaaayeo/TensorFlow-Certificate     * https://github.com/seraaaayeo/TensorFlow-Certificate
 +    * https://github.com/https-deeplearning-ai/tensorflow-1-public
  
 +===Tip 정리=== 
 +1. 데이터 셋 정확한 비율로 올바르게 분할했는지 
 +  - 문제 조건에 맞는 in/output shape 확인 
 +  - Data Augmentation 
 +2. 단순히 epoch 늘려보기 
 +  - ReLU 대신 LeakyReLU 
 +  - learning rate 조금씩 키우기 (epoch 늘리기엔 학습시간 부족할 때) 
 +3. 추가 레이어 
 +  - 레이어 종류 
 +  - Dropout 
 +  - Conv. 레이어 필터 수 줄여보기 
 +4. Callback : early stop
  
 {{tag>data_analysis 데이터분석자격증 빅데이터분석기사 텐서플로우자격증 SQLD}} {{tag>data_analysis 데이터분석자격증 빅데이터분석기사 텐서플로우자격증 SQLD}}
  • data_analysis/certification.1647739669.txt.gz
  • Last modified: 2025/07/07 14:12
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