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자주 사용하는 seed 정의 코드

Posted on 2024-11-28 | In Deep Learning

주로 사용하는 seed 고정 코드
pytorch lightning framework 사용하는 경우를 예시로 작성

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py파일 순차적 수행

Posted on 2024-10-09 | In Deep Learning

모델 학습을 위해 만들어진 여러 py파일 리스트로 지정 후 수행

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Docker build & use 다른 서버에서 사용

Posted on 2024-09-26 | In Docker

특정 폴더 루트 예시: /home/tmp/ml

Dockerfile 생성

먼저, 도커 이미지 생성을 원하는 특정 폴더(/home/tmp/ml)에 Dockerfile을 만들어 해당 폴더를 도커 이미지에 포함.
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Python 3.9을 사용하는 베이스 이미지 설정 (필요한 환경에 맞게 선택)

FROM python:3.9-slim

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label Unique RGB 확인 / Image Channel 확인

Posted on 2023-07-28 | In Computer Vision

label Unique RGB 확인

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Ubuntu Server admin

Posted on 2022-09-15 | In Ubuntu , Server

우분투 서버 대기모드/절전모드 확인

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Folder Split

Posted on 2022-07-12 | In Machine Learning , Deep Learning

폴더 나누기(Folder Split)
전체 데이터셋 폴더 -> Train, Validation, Test 폴더로 나누기

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DeepLearning.AI TensorFlow Developer Course 2-3

Posted on 2021-01-10 | In Deep Learning

Building….

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DeepLearning.AI TensorFlow Developer Course 2-2

Posted on 2020-12-28 | In Deep Learning

[Coursera] DeepLearning.AI TensorFlow Developer ( Tensorflow In Practice ) 강의 정리
Course 1 : Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Course 2 : Convolutional Neural Networks in TensorFlow

  • Week 1 - Exploring a Larger Dataset
  • Week 2 - Augmentation: A technique to avoid overfitting
  • Week 3 - Transfer Learning
  • Week 4 - Multiclass Classifications
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DeepLearning.AI TensorFlow Developer Course 2-1

Posted on 2020-12-26 | In Deep Learning

[Coursera] DeepLearning.AI TensorFlow Developer ( Tensorflow In Practice ) 강의 정리
Course 1 : Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Course 2 : Convolutional Neural Networks in TensorFlow

  • Week 1 - Exploring a Larger Dataset
  • Week 2 - Augmentation: A technique to avoid overfitting
  • Week 3 - Transfer Learning
  • Week 4 - Multiclass Classifications
Read more »

DeepLearning.AI TensorFlow Developer Course 1-4

Posted on 2020-12-23 | In Deep Learning

[Coursera] DeepLearning.AI TensorFlow Developer ( Tensorflow In Practice ) 강의 정리
Course 1 : Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

  • Week 1 - A New Programming Paradigm
  • Week 2 - Introduction to Computer Vision
  • Week 3 - Enhancing Vision with Convolutional Neural Networks
  • Week 4 - Using Real-world Images
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