A simple neural network that implements a subset of the 6502 instruction set. The 6502 was a very popular processor in the 1980s and 90s, and was used in various forms in many popular consumer electronics products from Apple, Nintendo, Sega, and many more.
This was created as part of an offline (aka acapella) engineering challenge over a weekend. See my NES Emulator for a much faster, cleaner, and more complete implementation. I also created a simple neural network that implements part of the 6502 instruction set – check it out here.
Python 6502 Emulator Source (Github).
