清华大学孙茂松课题组:《图神经网络:方法与应用》综述论文,20页pdf

专知 2018-12-25 11:39
全面总结了最新图神经网络的模型,应用和未来研究方向,是研究该领域的重要的参阅资料
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深度学习12大常见问题解答(附答案)

no_speaking 2018-06-10 23:37
阿尔法狗让深度学习登上了数据科学世界的巅峰。深度学习成为了当今最热门的话题之一,但对于大多数人来说,这是一个陌生而又神秘的学科。很多人认为,深度学习就是包括了大量的数学和统计知识。本文列举了常见的12个深度学习的问题。
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普通视频转高清:10个基于深度学习的超分辨率神经网络

人工智能头条 2018-07-13 13:58
用于超分辨率的深度学习基本框架,以及衍生出的各种网络模型,其中有些网络在满足实时性方面也有不错的表现。

Learning Transferable Architectures for Scalable Image Recognition

jixiaohui 2018-01-10 15:36
Developing neural network image classification models often requires significant architecture engineering. In this paper, we attempt to automate this engineering process by learning the model architec

深度学习入门必须理解这25个概念

TinyMind 2018-06-07 17:12
初学者必看~

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

辉仔 2018-01-10 10:21
We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a multiscale and sliding window approach can be efficiently implemented

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

jixiaohui 2018-01-10 11:37
Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve ve

神经网络最大的优点,以及最严重的缺陷

人工智能头条 2018-10-17 11:36
神经网络,太神了
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错看一头大象后,这个AI“疯了”!

AI科技大本营 2018-09-28 11:22
“这是一项聪明且重要的研究,它提醒我们所谓的‘深度学习’并非想象中的那么‘深’”,纽约大学神经科学家GaryMarcus表示。

Fully Convolutional Networks for Semantic Segmentation

辉仔 2018-01-10 10:46
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-a
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