The M1 MacBook Air is the best computer I've ever owned
I started a new job recently so I had the opportunity to get one of
the new M1 MacBooks, I decided to go with the Air. The reviews have
been very positive and I’m here to tell you: it is indeed an amazing
device. The performance feels a lot better than my MacBook Pro 16”,
which is only a year old and about 3x the price.
When I got the Mac I set out with the goal of avoiding Intel builds
of software as much as possible and using native whenever possible
unless it’s absolutely impossible.
Source: The M1 MacBook Air is the best computer I've ever
owned, an article by Bouke van der
Deep Learning's Most Important Ideas - A Brief Historical Review
Deep Learning is an extremely fast-moving field and the huge number
of research papers and ideas can be overwhelming. Even seasoned
researchers have a hard time telling company PR from real
breakthroughs. The goal of this post is to review those ideas that
have stood the test of time, which is perhaps the only significance
test one should rely on. These ideas, or improvements of them, have
been used over and over again. They're known to work.
Source: Deep Learning's Most Important Ideas - A Brief Historical
an article by Denny Britz.
The Quest for Minimal Docker Images, part 1
When getting started with containers, it’s pretty easy to be shocked
by the size of the images that we build. We’re going to review a
number of techniques to reduce image size, without sacrificing
developers’ and ops’ convenience. In this first part, we will talk
about multi-stage builds, because that’s where anyone should start
if they want to reduce the size of their images. We will also
explain the differences between static and dynamic linking, as well
as why we should care about that. This will be the occasion to
Source: The Quest for Minimal Docker Images, part
an article by Jérôme Petazzoni.