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…

Deep Learning Papers Reading Roadmap https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap.git Courses: Data Science: Deep Learning in Python https://www.udemy.com/data-science-deep-learning-in-python/#instructor Bay Area Deep Learning Sc…

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…

一.Image Classification(Recognition) lenet: http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf alexnet: http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf overfeat: http://arxiv.org/pdf/1312.6229v4.pdf vgg: http://arxiv.org/pdf/1409.1556.pdf googlen…

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…

最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…

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…

Adit Deshpande CS Undergrad at UCLA ('19) Blog About Resume Deep Learning Research Review Week 1: Generative Adversarial Nets Starting this week, I’ll be doing a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summa…

Why Deep Learning Works – Key Insights and Saddle Points A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point. By Matthew Mayo. This post…