目录 概 主要内容 二分类模型 为线性 为一般二分类 多分类问题 仿射 为一般多分类 Moosavidezfooli S, Fawzi A, Frossard P, et al. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks[C]. computer vision and pattern recognition, 2016: 2574-2582. @article{moosavidezfooli2016de…
https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious problem in such networks. Large networks are also slow to use, m…
目录 概 主要内容 实验的指标 Dan Hendrycks, Norman Mu,, et. al, AUGMIX : A SIMPLE DATA PROCESSING METHOD TO IMPROVE ROBUSTNESS AND UNCERTAINTY. 概 本文介绍AUGMIX算法--对现有的的一些augmentation方法进行混用, 并构建了一个新的损失函数. 主要内容 其中\(\mathrm{Dirichlet}\)为狄利克雷分布. 通过实验指出, Augmentation的混用(…
simple factory good:1 devide implementation and initialization2 use config file can make system more flexible (reflection) bad:1 all initialization work in factory. when the logic is complex or too many products, the factory will be too complex. hard…
先上菜单: 摘要: Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious problem in such networks. Large networks are also slow to use, making it difficult to deal with overfitting by…
本文转自:https://github.com/zhangqianhui/AdversarialNetsPapers AdversarialNetsPapers The classical Papers about adversarial nets The First paper ✅ [Generative Adversarial Nets] [Paper] [Code](the first paper about it) Unclassified ✅ [Deep Generative Im…
http://www.cv-foundation.org/openaccess/CVPR2016.py ORAL SESSION Image Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Descr…
CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…
http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html //转载于 Training Deep Neural Networks Published: 09 Oct 2015 Category: deep_learning Tutorials Popular Training Approaches of DNNs — A Quick Overview https://medium.com/@asjad/p…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "s…
@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…
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…
