結合ChatGPT的聊天機器人WebEx Bot Cisco WebEx Bot combined with ChatGPT
本專題用 思科 (Cisco) 的 WebEx bot，並使用OpenAI ChatGPT 的 AI 能力創建出一教育訓練用機器人。這個 WebEx bot 將幫助你回答有關風力發電教的專業問題。如果你想一起建立這個 WebEx bot，進行相關教育訓練或客製化開發，歡迎與本工作室聯繫。
YOLO 的產業應用: 產品瑕疵辨識 / Industrial Application of YOLO: Identifying the Defectiveness of Products
YOLO (You Only Look Once) 是一系列即時物件偵測的機器學習演算法。物件偵測是電腦視覺的基本任務，利用神經網路來識別和分類影像中的物件。這項技術的應用範圍非常廣泛，包括醫療成像、自動車和監控系統。在用於物體偵測的各種機器學習方法中，卷積神經網路 (CNN) 扮演了舉足輕重的角色。 CNN 是所有 YOLO 模型的基礎，可讓研究人員與工程師有效率地執行物件偵測與分割任務。作為開放原始碼的模型，YOLO 已經在該領域中獲得廣泛採用，並在相繼的版本中不斷改進，提高了精確度、性能和附加功能。 YOLO (You Only Look Once) is a family of real-time object detection machine learning algorithms. Object detection, a fundamental task in computer vision, leverages neural networks to identify and classify objects within images. This technology has a broad range of applications, including medical imaging, autonomous vehicles, and surveillance systems. Among the various machine learning approaches used for object detection, convolutional neural networks (CNNs) play a pivotal role. CNNs serve as the foundation for all YOLO models, enabling researchers and engineers to perform object detection and segmentation tasks efficiently. As open-source models, YOLO has gained widespread adoption in the field, with continuous improvemen...
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