The Neural Network Zoo - The Asimov Institute
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these architectures are presented as novel and unique, when I drew the node structures… their underlying relations started to make more sense. One problem with drawing them as node maps: it doesn’t really show how they’re used. It should be noted that while most of the abbreviations used are generally accepted, not all of them are. Composing a complete list is practically impossible, as new architectures are invented all the time. For each of the architectures depicted in the picture, I wrote a very, very brief description. Rosenblatt, Frank. Broomhead, David S., and David Lowe. Hopfield, John J.
Related: Advance Tech
• Deep learning
• Neural Networks