![]() ![]() Seeing the results of this machine learning in action means having a different way of generating and modifying musical information. But it’s really about creating an engine that can very quickly process lots of tensors – geometric units that can be combined into, for example, artificial neural networks. “TensorFlow” may sound like some kind of stress exercise ball you keep at your desk. ![]() What Magenta and TensorFlow are based on is applying algorithmic analysis to large volumes of data. AI?Īrtificial Intelligence – well, apologies, I could have fit the letters “ML” into the headline above but no one would know what I was talking about. But let’s back up and first talk about what this means. I got to sit down with the developers in LA, and also have been playing with the latest builds of Magenta Studio. And, if you’re a developer, you can dig far deeper into the tools and modify them for your own purposes – and even if you have just a little comfort with the command line, you can also train your own models. Because they’re built with Electron (a popular cross-platform JavaScript tool), though, there’s also a standalone version. If you’re working with Ableton Live, you can use Magenta Studio as a set of devices. After some more polishing, Magenta Studio is now ready for primetime use since its full release earlier this year. ![]()
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