A digital model the archaic MOS 6502 microprocessor asks us what we can really know about the brain.
Presenting a curated list of machine learning frameworks, libraries and software, by language.
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
Google introduces SyntaxNet, a state-of-the-art parser built on top of Tensorflow. It is “an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems.”
In the past, according to Lee and researchers outside of Microsoft, this sort of very deep neural net wasn’t feasible. Part of the problem was that as your mathematical signal moved from layer to layer, it became diluted and tended to fade.
When miniaturization pushes the boundaries of what is possible to achieve with digital computing? Go analog. And what’s analog? Why, neural nets.
Natural selection: A genetic algorithm is used to randomly generate tunes, which humans then evaluate.