As I seem to only post blog entries at the start of a fresh year, here’s the first of what I hope will become a fairly frequent round-up of articles, books etc that I’ve found particularly interesting during the preceding week or so.
If all goes to plan then maybe I’ll get my next post out before the Mayan calendar flips over in July.
A brief, and understandable, overview of a new neural network architecture from the godfather of deep learning Geoffrey Hinton.
A case for making deep learning more intuitive and approachable by comparing its layered nature to that of the field of optics.
An intuition for how a deep learning net can capture representations and models across its distributed parts.
From the masters of reinforcement learning and AI game playing (DeepMind) comes a technique to quickly and easily identify the Nash equilibrium of an asymmetric multi-agent game.
BBC article on some recent developments in the field of quantum computing.
Data privacy and governance are increasingly important topics in today’s world. Web 3.0 - the decentralized web - is approaching fast, thanks mainly to blockchain. This post brings you up to speed on many of the areas of our lives this may have the power to affect.
A fantastic dive into the practical aspects of deep learning. The only real downside is that there’s such a wealth of information present that it’ll take a fair few iterations to fully absorb all of the content.