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Deep tech FOMO is a TinyML neural network for real-time object detection FOMO is a deep learning object detection model that weighs less than 200 kilobytes April 24, 2022 - 8:09 pm ...
Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...
Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.
A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2022; 1 DOI: 10.1109/TITS.2022.3210490 ...
Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases. Written by eWEEK content and product ...
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