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Zero False Positives in Deep Learning: An Achievable Goal—But One That Could Easily Backfire
Achieving zero false positives in deep learning is an ambitious goal, but it carries a potential risk. Dive into the complexities of model training and uncover both the challenges and the practical implications of false positives.
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Learn how to select an appropriate AI video analytics solution to meet your specific physical security needs.
Read moreFive Insights for Better Cities
Learn how AI-powered video analytics can enhance urban management by providing real-time monitoring and actionable insights for improved security and a higher quality of life in cities.
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