Sign in or Join FriendFeed
FriendFeed is the easiest way to share online. Learn more »
A Ten Year Tribute to Jon Postel | Internet Society -
Leonard Kleinrock - Wikipedia, the free encyclopedia -
"The first message on the ARPANET was sent by UCLA student programmer Charley Kline, at 10:30 p.m, on October 29, 1969 from Boelter Hall 3420, the school's main building.[6] Supervised by Kleinrock, Kline transmitted from the university's SDS Sigma 7 host computer to the Stanford Research Institute's SDS 940 host computer. The message text was the word "login"; the "l" and the "o" letters were transmitted, but the system then crashed. Hence, the literal first message over the ARPANET was "lo". About an hour later, having recovered from the crash, the SDS Sigma 7 computer effected a full "login". The first permanent ARPANET link was established on November 21, 1969, between the IMP at UCLA and the IMP at the Stanford Research Institute. By December 5, 1969, the entire four-node network was established.[7]" - Michael Nielsen
The original proposal of the WWW, HTMLized -
HyperCard: What Could Have Been -
Atkinson's attitude to the web: "Atkinson feels that if only he'd realized separate cards and stacks could be linked on different people's machines through the Net -- instead of cards and stacks on a particular machine -- he would have created the first Internet browser." - Michael Nielsen
BigBrain Atlas Unveiled - ScienceNOW -
PLOS ONE: Big Science vs. Little Science: How Scientific Impact Scales with Funding -
Some evidence to suggest that there's little payoff from larger grants. Lots of caveats, of course. Interesting references, too. - Michael Nielsen
Deep learning of representations -
Auctions and bidding: a guide for computer scientists -
A useful review. - Michael Nielsen
Re-Imagining the Browser with AngularJS - YouTube -
Re-Imagining the Browser with AngularJS - YouTube
Research Blog: Improving Photo Search: A Step Across the Semantic Gap -
On Google's use of Hinton-Ng-Dean-LeCun's work to do automatic photo tagging. - Michael Nielsen
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition -
Reports two experiments in which max pooling handily beat out subsampling. - Michael Nielsen
Microsoft Inductive User Interface Guidelines -
Roger Federer - Top 10 Amazing Gets (HD) - YouTube -
Roger Federer - Top 10 Amazing Gets (HD) - YouTube
Agre on what it means to be critical: to be aware of one's own biases, and the cultural assumptions one brings to something. He talks about close reading an AI text, and trying to understand all the sociological background. - Michael Nielsen
Music Animation Machine - YouTube -
Tera-scale deep learning - Quoc V. Le on Vimeo -
On the 2012 Google-Stanford deep learning paper. - Michael Nielsen
An Analysis of Single-Layer Networks in Unsupervised Feature Learning -
More learned features helps a lot; smaller stride length helps a lot. Larger local receptive fields barely helps at all. - Michael Nielsen
Classification datasets results -
Results for MNIST, CIFAR-10, CIFAR-100, STL-10 and SVHN - Michael Nielsen
Byron's Blog: Unlabeled Object Recognition in Google+ -
International Conference on Learning Representations (ICLR) 2013 | -
Best practices for convolutional neural networks applied to visual document analysis -
Simard, Steinkraus, and Platt on the value of image distortion and convolutional networks. - Michael Nielsen
Japanese children learn super-fast mathematics with abacus - YouTube -
Good interview with an online troll: "I am lucky to have not had people who liked me for who I was when I was truly awful" - Michael Nielsen
Exercise for depression | Cochrane Summaries -
How My Neural Net Sees Blackboards | Christopher Olah's Blog -
Chris uses neural nets to clean up handwritten blackboard images. - Michael Nielsen
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations - -
Honglak Lee's 2009 paper on hierarchical infererence in convolutional DBNs. - Michael Nielsen
ACM Web Science talk, as written | Quinn Said -
On the aesthetics of the network. - Michael Nielsen
[1003.0358] Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition -
An example where we can use back-prop to train a deep net. - Michael Nielsen
Other ways to read this feed:Feed readerFacebook