Category: Study
GROKKING: GENERALIZATION BEYOND OVERFITTING ON SMALL ALGORITHMIC DATASETS
요약: 이 논문은 작은 알고리즘적으로 생성된 데이터셋에서 신경망의 일반화 능력을 연구하는 것을 제안합니다. 이러한 설정에서는 데이터 효율성, 기억, 일반화, 학습 속도에 대한 질문들을 자세히 연구할 [more…]
ETHICS OF AI ONLINE COURSE
ETHICS OF AI ONLINE COURSE https://onlinecertificatecourses.lse.ac.uk/presentations/info/lse-ethics-of-ai-online-course/
2021Langcon
https://songys.github.io/2021Langcon/about/ 2021Langcon at Zoom일시2021년 08월 28일 (토) 오전 11:30 – 오후 06:00
Tutorial for pretraining and finetuning Korean GPT-2 model
https://github.com/MrBananaHuman/KorGPT2Tutorial
NVIDIA Jetson Nano & Jetson inference – PART4 (CAM&YOLO3)
Base code : https://github.com/jkjung-avt/tensorrt_demos#yolov3 Updated Code : https://github.com/min-sangshik/tensorrt_demos [sample command]python3 trt_yolov3.py –model yolov3-608 –usb –vid 0 –width 1280 –height 720–file –filename test_video.mp4: a video file, [more…]
NVIDIA Jetson Nano & Jetson inference – PART3 (Detection Training&JPG Inference)
PC/Server에서 Darknet Training -> Jetson-Nano로 반영하는 방법 (가장 바람직한 방법, YOLO3 테스트 2020/2/23) # darknet yolov3 weight -> onnx ->tensorrt (Training is OK – In [more…]
NVIDIA Jetson Nano & Yolo3(TensorRT) – PART2
https://github.com/opendatacam/opendatacam/blob/master/documentation/USE_WITHOUT_DOCKER.md— memory issue https://github.com/opendatacam/opendatacam/issues/95 Jetpack 4.2.1 Default opencv 3.3.1 from jetpack Darknet with branch https://github.com/opendatacam/darknet/tree/opendatacam test case (20200124) – latest version testing… $ jetson_release NVIDIA Jetson [more…]
berkeley-stat-157
berkeley-stat-157 https://courses.d2l.ai/berkeley-stat-157/syllabus.html?fbclid=IwAR1b79VuMqGaM4L0ADkl2lPFuz1gzpwIUnZe4tm5VccEaWD75mx-jArVUR0 코드, 수학, 토론이 함께하는대화형 딥러닝 학습서 https://ko.d2l.ai/?fbclid=IwAR1ginkGAVp7omPLDdiqez6fTbQs6XCIz4cN46YBf6ZtvntfGREb3XFjI0c
