31
Machine Learning Crash Course: Part 1
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 38 posts.
32
Deep Learning Is Easy – Learn Something Harder
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...
33
Image Compression with Neural Networks
Posted by Nick Johnston and David Minnen, Software EngineersData compression is used nearly everywhere on the internet - the videos you watch onlin...
34
OpenAI technical goals
OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.
35
How convolutional neural networks see the world
Note: this post was originally written in January 2016. It is now very outdated. Please see this example of how to visualize convnet filters for an up-to-date alternative, or check out chapter 9 of my book "Deep Learning with Python (2nd edition)".
36
The Myth of AI – Jaron Lanier
That mythology, in turn, has spurred a reactionary, perpetual spasm from people who are horrified by what they hear. You'll have a figure say, "The computers will take over the Earth, but that's a good thing, because people had their chance and now we should give it to the machines." Then you'll have other people say…
37
Autoencoding Blade Runner: reconstructing films with artificial neural networks
Reconstructing films with artificial neural networks
38
Another Way of Looking at Lee Sedol vs. AlphaGo
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…