Abstract: Accurately segmenting region boundaries in complex and high resolution remote sensing scenes, with often a large number of relatively small structures and objects remains a challenge; since ...
Abstract: Neural architecture search (NAS) is an automated technique to design optimal neural network architectures for a specific workload. Conventionally, evaluating candidate networks in NAS ...
Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
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