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Showing 1 to 3 of 3 for “"ZedBoard"”.
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Region-based Convolutional Neural Network and Implementation of the Network Through Zedboard Zynq
In autonomous driving, medical diagnosis, unmanned vehicles and many other new technologies, the neural network and computer vision has become extremely popular and influential. In particular, for classifying objects, convolutional neural networks (CNN) is very efficient and accurate. One version …
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Classification of road side material using convolutional neural network and a proposed implementation of the network through Zedboard Zynq 7000 FPGA
In recent years, Convolutional Neural Networks (CNNs) have become the state-of- the-art method for object detection and classi cation in the eld of machine learning and arti cial intelligence. In contrast to a fully connected network, each neuron of a convolutional layer of a CNN is connected to …
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FPGA-based programmable embedded platform for image processing applications
… functions are implemented on Avnet Zedboard platform which allows the evaluation of the performance. The point function achieved 2.53 times better performance than the area functions and point and area functions achieved performance improvements of 7.80 and 5.27 times over sin- gle …