python 38

• [Computer Vision] 07. Pose Estimation Mar 13, 2023
• [Computer Vision] 06. Segmentation Mar 13, 2023
• [Computer Vision] 05. Yolov8 Object Detection Mar 10, 2023
• [Computer Vision] 04. Object Detection - YOLO Mar 9, 2023
• [Computer Vision] 03. TFRecord Mar 7, 2023
• [Computer Vision] 02. 데이터 수집 및 Labeling Mar 6, 2023
• [Computer Vision] 01. Object Detection 개요 Mar 6, 2023
• [Deep Learning] 11. RNN 개요 Mar 3, 2023
• [Deep Learning] 10. Functional API Mar 2, 2023
• [Deep Learning] 09. GAP & Transfer Learning Feb 28, 2023
• [Deep Learning] 08. Image Augmentation Feb 27, 2023
• [Deep Learning] 06. CNN 개요 Feb 22, 2023
• [Deep Learning] 05. 딥러닝 성능 개선 Feb 21, 2023
• [Deep Learning] 04. TF data 파이프라인 분류 회귀 실습 Feb 20, 2023
• [Deep Learning] 03. 신경망 구조 Feb 17, 2023
• [Deep Learning] 02. MLP 구현 Feb 16, 2023
• [Deep Learning] 01. 딥러닝 개요 Feb 16, 2023
• [OpenCV] 03. 도형그리기 & 이미지 이동 Feb 15, 2023
• [OpenCV] 02. 기본 영상 처리 Feb 14, 2023
• [OpenCV] 01. OpenCV 개요 Feb 13, 2023
• [Machine Learning] 13. LogisticRegression(로지스틱 회귀) Feb 9, 2023
• [Machine Learning] 12. Optimize(최적화) Feb 9, 2023
• [Machine Learning] 11. Linear Regression Feb 8, 2023
• [Machine Learning] 10. Regression(회귀) Feb 8, 2023
• [Machine Learning] 09. Ensemble Feb 7, 2023
• [Machine Learning] 08. Decision Tree Feb 6, 2023
• [Machine Learning] 07. 지도학습 Feb 3, 2023
• [Machine Learning] 06. 과적합과 일반화 Feb 1, 2023
• [Machine Learning] 05. Classification(분류) Jan 31, 2023
• [Machine Learning] 04. 데이터 전처리 Jan 26, 2023
• [Machine Learning] 03. 데이터셋 나누기와 교차 검증 Jan 26, 2023
• [Machine Learning] 02. 머신러닝 기본 순서 Jan 25, 2023
• [Machine Learning] 01. 인공지능 Jan 20, 2023
• [Numpy] 02. Numpy 활용 Jan 20, 2023
• [Visualization] 04. Seaborn Jan 17, 2023
• [Visualization] 03. Pandas 시각화 Jan 17, 2023
• [Visualization] 02. matplotlib을 활용한 그래프 그리기 Jan 16, 2023
• [Jupyter notebook] Jupyter notebook 사용하기 Dec 19, 2022