Decreasing Precision with layer Capacity trains deep neural networks with layer-wise shrinking precision, cutting cost by up to 44% and boosting accuracy by up to 0.68% ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
A strong core means stability, fewer injuries, and better posture and balance during exercise. While you might be familiar with the abdominal exercises that engage the outer abdominal muscles — think ...
Objective: Timely diagnosis of early gastric cancer (EGC) is significantly associated with patient prognosis, but traditional endoscopic diagnosis relies on the physician’s experience and has certain ...
A new study reveals that natural hormonal shifts subtly reshape how the brain processes rewards and learns from them. Researchers found that estrogen influences molecular activity tied to dopamine, ...
Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
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