Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 18 posts.
I figured they, and others, could benefit from an explanation. The full details of an industrial-strength spell corrector are quite complex (you can read a little about it here or here ). But I figured that in the course of a transcontinental plane ride I could write and explain a toy spelling corrector that achieves…
interviewer: Welcome, can I get you coffee or anything? Do you need a break? me: No, I've probably had too much coffee already! interviewer: Great, great. And are you OK with writing code on the...
This is the text version of a talk I gave on October 29, 2016, at Web Camp Zagreb [ video ] (45 mins)
A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
Musings of a Computer Scientist.
A few weeks ago, I attended the Seven Pines Symposium on Fundamental Problems in Physics outside Minneapolis, where I had the honor of participating in a panel discussion with Sir Roger Penrose. T…
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
There is a long and sordid history of people coming out of the woodwork with bogus claims when huge amounts of money are on the line. This has just happened to Cruise, which is run by my friend...
I’m just going to jump right into the definitions and rigor, so if you haven’t read the previous post motivating the singular value decomposition, go back and do that first. This post will be theorem, proof, algorithm, data. The data set we test on is a thousand-story CNN news data set. All of the data, code, and…
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here:
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the…
Caveat: This post is meant address people who are completely new to deep learning and are planning an entry into this field. The intention is to help them think critically about the complexity of the field, and to help them tell apart things that are trivial from things that are...
Reconstructing films with artificial neural networks
Imagine a contest in which we are going to pit man against machine. But instead of measuring who is best in playing the game of ‘Go’ we are going to measure who is fastest. In the one corner: Human, all of 175 pounds of extremely well trained runner. And in the other corner, a Formula 1 racecar with a remote control…
