任务神经网络的相关内容

【PyTorch实战演练】深入剖析MTCNN(多任务级联卷积神经网络)并使用30行代码实现人脸识别

0. 前言按照国际惯例，首先声明：本文只是我自己学习的理解，虽然参考了他人的宝贵见解及成果，但是内容可能存在不准确的地方。如果发现文中错误，希望批评指正，共同进步。本文详细介绍MTCNN——多任务级联卷积神经网络的结构，并通过PyTorch实例说明MTCNN在人脸识别上的应用。 MTCNN的全称...

Nature Methods | 用深度多任务神经网络探索单细胞数据

1.研究背景在生物医学领域，分析大规模、高维度的单细胞数据，并且处理由分批实验效应和不同制备造成的数据噪声是当前的挑战；单细胞数据的大规模、高维度处理比较困难，需要考虑数据中不同程度的噪声、分批效应、人工误差、稀疏异质性。近年来，深度学习技术在处理生物医学数据方面的应用崭露头角，并取得不错的效果，这...

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NLP多任务学习：一种层次增长的神经网络结构 | PaperDaily #16

由于神经网络强大的表达能力，在 NLP 领域研究者们开始研究基于神经网络的多任务学习。大多数方法通过网络参数共享来学习任务间的关联，提升各任务效果。本期推荐的论文笔记来自 PaperWeekly 社区用户 @robertdlut。这篇文章介绍了一个联合的多任务（joint many-task）模型...

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