转自:http://www.jeremydjacksonphd.com/category/deep-learning/   Deep Learning Resources Posted on May 13, 2015   Videos Deep Learning and Neural Networks with Kevin Duh: course page NY Course by Yann LeCun: 2014 version, 2015 version NIPS 2015 Deep

问答环节 问:在finetuning的时候,新问题的图像大小不同于pretraining的图像大小,只能缩放到同样的大小吗?" 答:对的:) 问:目前dl在时序序列分析中的进展如何?研究思路如何,能简单描述一下么答:这个有点长,可以看看google最近的一系列machine translation和image description的工作. 问:2个问题:1.目前Caffe主要面对CV或图像的任务,是否会考虑其它任务,比如NLP?2.如果想学习Caffe代码的话,能给一些建议吗?答:Caffe的

Learning Deep Learning with Keras  Piotr Migdał - blog Projects Articles Publications Resume About Photos Learning Deep Learning with Keras 30 Apr 2017 • Piotr Migdał • [machine-learning] [deep-learning] [overview] I teach deep learning both for a li

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

Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur

  Applied Deep Learning Resources A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings. Including trained models and simple methods that can be used out of the box. Mainly focusing on Convolu

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

  Main Menu Fortune.com       E-mail   Tweet   Facebook   Linkedin Share icons By Roger Parloff Illustration by Justin Metz SEPTEMBER 28, 2016, 5:00 PM EDT WHY DEEP LEARNING IS SUDDENLY CHANGING YOUR LIFE Decades-old discoveries are now electrifying

基于Deep Learning 的视频识别方法概览 析策@阿里聚安全 深度学习在最近十来年特别火,几乎是带动AI浪潮的最大贡献者.互联网视频在最近几年也特别火,短视频.视频直播等各种新型UGC模式牢牢抓住了用户的消费心里,成为互联网吸金的又一利器.当这两个火碰在一起,会产生什么样的化学反应呢? 不说具体的技术,先上一张福利图,该图展示了机器对一个视频的认知效果.其总红色的字表示objects, 蓝色的字表示scenes,绿色的字表示activities. 图1 人工智能在视频上的应用主要一个课题