It has been about 10 years since I stopped working on my procedural landscape generation side project . I’ve wanted to pick some of the the ideas from that project for a while now, but never really had anything which felt that concrete starting point. That is, until I
This idea differs from the others in this series, because I disagree with it. Strongly. I might even go so far as to say that I was offended by it, initially. Getting offended is rarely constructive, though, and in the end it made me stop and think. It also differs
Right now Python feels like the language of deep learning and data science in general. That’s not really surprising. With the right libraries (probably NumPy , Pandas and MatPlotLib ) it can come close to matching Matlab for power and expressibility when it comes to numerical and data computing. It
Another idea which changed my perspective, and this one still haunts me. It’s split across two different sources which I read in succession. Furthermore, because it pertains to quantum mechanics, it’s going to take me a little while, and two excerpts, to explain. The first is
Well. This is embarrassing. At the beginning of last year I was working my way through fast.ai’s excellent Deep Learning for Coders course. Then, around the time I was due to start the last module, my life got very busy and complicated. To be clear: it got
The Laundry Files is a book series which includes several subjects which are guaranteed to draw my interest, especially when combined: Computer related stuff; Espionage type stuff; Lovecraftey stuff. They’re very fun, but if I’m being entirely honest: somewhat forgettable. However in book 3, The Fuller
Part one of short series of posts on ideas which have changed my perspective one way or another. Starting with something which massively changed the way I look at systems of categorisation.
Hacks, improvements and graphs. Lots of graphs. Part 2 of my attempt to grapple with the Kaggle Yelp Restaurant Photo Classification competition, using the techniques (and code library) from fast.ai’s “Practical Deep Learning for Coders” course.
Part 1 of my attempt to grapple with the Kaggle Yelp Restaurant Photo Classification competition, using the techniques (and code library) from fast.ai’s “Practical Deep Learning for Coders” course.
A lengthy discussion of the Flutter cross platform UI framework and my feelings about it. TLDR: I like the Flutter framework a lot, but: I wish it used Swift as its programming language; and I find its facsimile of native OS components to be imperfect.
Getting started with the fast.ai "Deep Learning for Coders" MOOC. Setting Paperspace to work as a compute backend, and using the iPad app Juno as the frontend.