Ashish Kumar presents how Google manages to keep the source code of all its projects, over 2000, in a single code trunk containing hundreds of millions of code lines, with more than 5,000 developers accessing the same repository.
wastholm.tumblr.com/post/123445786267/good-morning-stockholm, posted 7 Jul by peter in stockholm
wastholm.tumblr.com/post/122926304117/good-morning-stockholm, posted 1 Jul by peter in stockholm
This is a site you use to test clients – mobile apps, browsers, and many other applications that use HTTP applications and TLS – the Transport Layer Security protocol. We have designed a lot of tests that checks if your browser or client application really checks the identity of the server it’s trying to connect to. It is important that developers understand how TLS works and how site verification works.
A command-line tool that helps you clean up Git branches that have been merged into master.
twitter.com/wastholm/status/613656023501537280, posted 24 Jun by peter
@mar_nyb Inte direkt det enda som är knepigt i japanska heller.
There just isn’t a resource out there that shows the counter with a list of things that can be counted in this way. I’m hoping to fix that with this guide.
wastholm.tumblr.com/post/122235222417/good-morning-stockholm, posted 23 Jun by peter in stockholm
googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html, posted 22 Jun by peter in ai graphics science
One way to visualize what goes on is to turn the network upside down and ask it to enhance an input image in such a way as to elicit a particular interpretation. Say you want to know what sort of image would result in “Banana.” Start with an image full of random noise, then gradually tweak the image towards what the neural net considers a banana (see related work in , , , ). By itself, that doesn’t work very well, but it does if we impose a prior constraint that the image should have similar statistics to natural images, such as neighboring pixels needing to be correlated.