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그리드.ai는 인프라보다는 머신 러닝에 초점을 맞춘 플랫폼입니다. 최첨단 AI 연구를 데모크라타이즈하는 것이 목표입니다.
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Entrena Yolov8 para Detección de Objetos con Cualquier Dataset | Python
#yolo #computervision #objectdetection #python #huggingface #ultralytics En este video te cuento paso a paso como entrenar un detector de objetos con tu cualquier dataset. 00:00:00 Inicio 00:00:18 Qué vamos a hacer 00:00:35 Cómo lo haremos 00:01:49 Exploración datatset (huggingface) 00:06:11 Grid.ai | Requerimientos | Descarga y preprocesa dataset 00:19:35 Ultralytics | Entrenamiento Yolov8 00:28:10 Exploración Resultados 00:30:00 Inferencia 🙏🏼 Donaciones: https://www.paypal.com/donate/?hosted_button_id=Z3MZDUM4VE5UC 💻 Código del video: https://github.com/FernandoLpz/YouTube/tree/main/ObjectTrackingYolov8_SORT ✅ Ultralytics: https://docs.ultralytics.com/ ¡Mis redes! 🤓 GitHub: https://github.com/FernandoLpz 🙂 https://medium.com/@ferneutron 🤠 LeetCode: https://leetcode.com/ferneutron/ 😎 Instagram: @ferneutronn 🥸 Twitter: @ferneutronn
You Can Really EARN +$1000! Big Recap of FREE Mining for PC & Phone - DePIN AI Chrome Extension 💯
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Sebastian Raschka, University of Wisconsin-Madison/ Lead AI Education, Grid.AI
Deep learning offers state-of-the-art results for classifying images and text. Common deep learning architectures and training procedures focus on predicting unordered categories, such as recognizing a positive and negative sentiment from written text or indicating whether images contain cats, dogs, or airplanes. However, in many real-world problems, we deal with prediction problems where the target variable has an intrinsic ordering. For example, think of customer ratings (e.g., 1 to 5 stars) or medical diagnoses (e.g., disease severity labels such as none, mild, moderate, and severe). This talk will describe the core concepts behind working with ordered class labels, so-called ordinal data. We will cover hands-on PyTorch examples showing how to take existing deep learning architectures for classification and outfit them with loss functions better suited for ordinal data while only making minimal changes to the core architecture. To view the slides, click here: https://fs.hubspotusercontent00.net/hubfs/2631050/Deep%20Learning%20Summit%20-%20Sebastian%20Raschka%20-%20UoW%20_%20Grid.pdf
총 19개의 소셜 미디어 데이터를 보려면 잠금을 해제해야 합니다