“tiny-dnn is a C++11 implementation of deep learning. It is suitable for deep learning on limited computational resource, embedded systems and IoT devices.”
I’ve recently been implementing the Speech Synthesis SDK on iOS at VocaliD and wanted so share some quick hints on working with the Apple Audio Queue Services. This is no thorough treatise but just a few bullets points that might be helpful.
I’ve recently been reading the article “Coding needs a new youth movement” in which the author proposes that beginner programming courses should focus on “frontend” technologies to motivate students. Instead of “backend” technologies like Java, that is. This lead me to take a look back at the time when I wrote my first lines of code, which was more than 20 years ago. I assume that many creators of said programming courses also started at least back then, probably being the reason why the courses are structured in the way the are.
So here I would like to share (the beginning of) my journey from interested kid to CS PhD. This might end up as some sort of boring, archaeological curiosity but I still hope I can share at least some funny stories, pictures and lots of links (you notice all the highlighted words, right?).