Monti, Federico, et al. "Geometric deep learning on graphs and manifolds using mixture model CNNs." arXiv preprint arXiv:1611.08402 (2016). 摘要:作者提出课一个统一的框架,这个框架能把传统CNN泛化到非欧空间上.作者还说以前的一些工作是他们这个工作的特例.作者在图片,图结构数据和3D形状分析上都取得了最好的成绩. 1.介绍 1.1 相关工作 1.2…

翻译: How to do Deep Learning on Graphs with Graph Convolutional Networks 什么是图卷积网络 图卷积网络是一个在图上进行操作的神经网络.给定一个图\(G=(E,V)\) ,一个GCN的输入包括: 一个输入特征矩阵X,其维度是\(N\times F^0\) ,其中N是节点的数目,\(F^0\)是每个节点输入特征的数目 一个\(N \times N\)的对于图结构的表示的矩阵,例如G的邻接矩阵A GCN的一个隐藏层可以写成\(H^i…

Adit Deshpande CS Undergrad at UCLA ('19) Blog About The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) Introduction Link to Part 1Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important develo…

转自:https://github.com/terryum/awesome-deep-learning-papers Awesome - Most Cited Deep Learning Papers A curated list of the most cited deep learning papers (since 2010) I believe that there exist classic deep learning papers which are worth reading re…

最近一直在开发Orchestra Pipeline System,歇两天翻译点文章换换气.这篇文章是无意间看到的,自己从2015年就开始关注机器学习在视效领域的应用了,也曾利用碎片时间做过一些算法移植的工作,所以看到这篇文章的时候很有共鸣,遂决定翻译一下. 原文链接:https://www.fxguide.com/fxfeatured/new-machine-learning-server-for-deep-learning-in-nuke/ 正文: Recent years have seen…

14 TEMPORAL GRAPH NETWORKS FOR DEEP LEARNING ON DYNAMIC GRAPHS link:https://scholar.google.com.hk/scholar_url?url=https://arxiv.org/pdf/2006.10637.pdf%3Fref%3Dhttps://githubhelp.com&hl=zh-TW&sa=X&ei=oVakYtvtIo74yASQ1Jj4AQ&scisig=AAGBfm0bNv…

Awesome Deep Learning  Table of Contents Free Online Books Courses Videos and Lectures Papers Tutorials Researchers WebSites Datasets Frameworks Miscellaneous Contributing Free Online Books Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Cou…

What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…

原文: http://www.deeplearningbook.org/contents/intro.html Inventors have long dreamed of creating machines that think. Ancient Greek myths tell of intelligent objects, such as animated statues of human beings and tables that arrive full of food and dri…

Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). Last Update: 2016.08.09 Project Name Stars Description TensorFlow 29622              Computation using data flow graphs for scalable machine lear…

Deep Learning and Shallow Learning 由于 Deep Learning 现在如火如荼的势头,在各种领域逐渐占据 state-of-the-art 的地位,上个学期在一门课的 project 中见识过了 deep learning 的效果,最近在做一个东西的时候模型上遇到一点瓶颈于是终于决定也来了解一下这个魔幻的领域. 据说 Deep Learning 的 break through 大概可以从 Hinton 在 2006 年提出的用于训练 Deep Belief…

A Statistical View of Deep Learning (V): Generalisation and Regularisation We now routinely build complex, highly-parameterised models in an effort to address the complexities of modern data sets. We design our models so that they have enough 'capaci…

动人的DL我们有六个月的时间,积累了一定的经验,实验,也DL有了一些自己的想法和理解.曾经想扩大和加深DL相关方面的一些知识. 然后看到了一个MIT按有关的对出版物DL图书http://www.iro.umontreal.ca/~bengioy/dlbook/,所以就有了读一下这本书然后做点笔记攒点知识量的念头.这一系列的博客将是笔记型的,有什么写的不好之处还望广大博友见谅,也欢迎各位同行能指点一二. 这是本书的第一章,下面是个人感觉蛮重要的一些点: logistic regression ca…

原文地址:https://github.com/soumith/cvpr2015/blob/master/Deep%20Learning%20with%20Torch.ipynb Deep Learning with Torch: the 60-minute blitz Goal of this talk Understand torch and the neural networks package at a high-level. Train a small neural network o…

Summary on deep learning framework --- PyTorch  Updated on 2018-07-22 21:25:42  import osos.environ["CUDA_VISIBLE_DEVICES"]="4" 1. install the pytorch version 0.1.11  ## Version 0.1.11 ## python2.7 and cuda 8.0 sudo pip install http://…

1. 概述 原文地址: TensorFlow and deep learning,without a PhD Learn TensorFlow and deep learning, without a Ph.D. B站视频地址: https://www.bilibili.com/video/av8284296 https://www.bilibili.com/video/av16339227 在这个codelab中,您将学习如何创建和训练识别手写数字的神经网络.一路上,随着你增强神经网络的准确率…

总结 机器学习(machine learning)是人工智能的一个特殊子领域,其目标是仅靠观察训练数据来自动开发程序［即模型(model)］.将数据转换为程序的这个过程叫作学习(learning) 深度学习(deep learning)是机器学习的众多分支之一,它的模型是一长串几何函数,一个接一个地作用在数据上.这些运算被组织成模块,叫作层(layer).深度学习模型通常都是层的堆叠,或者更通俗地说,是层组成的图.这些层由权重(weight)来参数化,权重是在训练过程中需要学习的参数.模型的知识…

一.Training of a Single-Layer Neural Network 1 Delta Rule Consider a single-layer neural network, as shown in Figure 2-11. In the figure, d i is the correct output of the output node i. Long story short, the delta rule adjusts the weight as the follow…

A Review on Deep Learning Techniques Applied to Semantic Segmentation 2018-02-22  10:38:12   1. Introduction: 语义分割是计算机视觉当中非常重要的一个课题,其广泛的应用于各种类型的数据,如:2D image,video,and even 3D or volumetric data. 最近基于 deep learning 的方法,取得了非常巨大的进展,在语义分割上也是遥遥领先于传统算法. 本…

Deep Neural Network - Application Congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You will now use everything you have learned to build a deep neural network that classifies cat vs. non-cat images. In…

Building your Deep Neural Network: Step by Step Welcome to your third programming exercise of the deep learning specialization. You will implement all the building blocks of a neural network and use these building blocks in the next assignment to bui…

Planar data classification with a hidden layer Welcome to the second programming exercise of the deep learning specialization. In this notebook you will generate red and blue points to form a flower. You will then fit a neural network to correctly cl…

Logistic Regression with a Neural Network mindset Welcome to the first (required) programming exercise of the deep learning specialization. In this notebook you will build your first image recognition algorithm. You will build a cat classifier that r…

本文转载自:https://blog.csdn.net/xummgg/article/details/69214366 前言 上月导师在组会上交我们用tensorflow写深度学习和卷积神经网络,并把其PPT的参考学习资料给了我们, 这是codelabs上的教程:<TensorFlow and deep learning,without a PhD> 当然登入需要FQ,我也顺带巩固下,做个翻译,不好之处请包含指正. 当然需要安装python,教程推荐使用python3.如果是Mac,可以参考博…

https://imaginghub.com/blog/10-a-comparison-of-four-deep-learning-frameworks-tensorflow-cntk-mxnet-and-caffe This article will focus on some basic information about all of these, and some key points of differentiation to keep in mind which will allow…

前言 上月导师在组会上交我们用tensorflow写深度学习和卷积神经网络.并把其PPT的參考学习资料给了我们, 这是codelabs上的教程:<TensorFlow and deep learning,without a PhD> 当然登入须要FQ,我也顺带巩固下,做个翻译.不好之处请包括指正. 当然须要安装python,教程推荐使用python3.假设是Mac,能够參考博主的另外两片博文,Mac下升级python2.7到python3.6, Mac安装tensorflow1.0 好多专业词…

Open Data for Deep Learning Here you’ll find an organized list of interesting, high-quality datasets for machine learning research. We welcome your contributions for curating this list! You can find other lists of such datasets on Wikipedia, for exam…

Convolutional Neural Networks https://www.coursera.org/learn/convolutional-neural-networks/home/welcome There are still something confuse me! working how to paste the jupyter here.................................................... Convolutional Neur…

Image Registration is a fundamental step in Computer Vision. In this article, we present OpenCV feature-based methods before diving into Deep Learning. What is Image Registration? Image registration is the process of transforming different images of…

Introduction to Deep Learning Algorithms See the following article for a recent survey of deep learning: Yoshua Bengio, Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, 2(1), 2009 Depth The computations involved in prod…