05 2018 档案
Deep Residual Learning for Image Recognition
摘要:Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun Microsoft Research {kahe, v-xiangz, v-shren, jiansun}@microsoft.com Abstract摘要 Deeper neural network
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Training Very Deep Networks
摘要:Rupesh Kumar SrivastavaKlaus Greff ̈J urgenSchmidhuberThe Swiss AI Lab IDSIA / USI / SUPSI{rupesh, klaus, juergen}@idsia.ch AbstractTheoretical and em
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Highway Networks(高速路神经网络)
摘要:Rupesh Kumar Srivastava (邮箱:RUPESH@IDSIA.CH)Klaus Greff (邮箱:KLAUS@IDSIA.CH)J¨ urgen Schmidhuber (邮箱:JUERGEN@IDSIA.CH)The Swiss AI Lab IDSIA(瑞士AI实验室IDS
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DiscreteFrechetDist
摘要:计算离散的frechet 距离,通过计算两条曲线之间的点的距离,将两条曲线上的点按照距离以及曲线的趋势进行配对,最后根据这些配对的距离选出最后的离散frechet距离(compute discrete frechet distance between two curves ) 地图匹配算法实践:ht
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Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
摘要:Understanding the Effective Receptive Field in Deep Convolutional Neural Networks 理解深度卷积神经网络中的有效感受野 Abstract摘要 We study characteristics of receptive fi
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PyTorch入门教程
摘要:https://www.zhihu.com/question/55720139 Deep Learning with PyTorch: A 60 Minute Blitz Author: Soumith Chintala Goal of this tutorial: Understand PyTor
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ArcGIS SimplifyLine
摘要:http://desktop.arcgis.com/zh-cn/arcmap/latest/tools/cartography-toolbox/simplify-line.htm#C_GUID-9C4CFE5B-31C3-4312-A46A-BFA6C49BDA56 http://127.0.0.1
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'module' object has no attribute 'contrib'
摘要:Problem solved, turns i had 2 tensorflow versions installed: When launching $python , it used 0.6 version(which didnt had contrib module) When launchi
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AttributeError: 'module' object has no attribute 'gfile'
摘要:While running TensorFlow's classify_image, getting AttributeError: 'module' object has no attribute 'gfile' 当运行TensorFlow的classify_image时,得到错误提示“Attri
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CIFAR-10 模型
摘要:Code: https://github.com/tensorflow/models/tree/master/official/resnet Data: http://www.cs.toronto.edu/~kriz/cifar.html
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云计算:只能采用Linux操作系统实现分布式云计算吗?
摘要:云计算是并行计算(Parallel Computing) 、分布式计算(Distributed Computing)和网格计算(Grid Computing)的发展,或者说是这些计算科学概念的商业实现。 云计算是虚拟化(Virtualization)、效用计算(Utility Computing)
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SLAM(Linux版)
摘要:之前的那个是Windows版,现在终于发现Windows运行slam是不行的,多么痛的领悟。 本书系统地介绍了视觉SLAM所需的基本知识与核心算法,既包括数学理论基础,如三维空间的刚体运动、非线性优化,又包括计算机视觉的算法实现,例如多视图几何、回环检测等。 第1讲 预备知识
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