Today, Google’s latest machine learning program created the first song: a 90-second piano piece. It is created by training neural networks.
Last week, Google launched the Magenta project, which aims to make Google's machine learning system create music and other art. This piano piece is the first masterpiece of this project.
In addition, Google also published a blog post indicating the ambitions on Magenta. In the long run, Magenta's goal is to lead the trend of machine art creation and build an artist community on this basis. In the short term, Magenta's artwork needs to be based on existing works of art. The team leader said: "In the beginning, we needed video and audio support, and we needed a platform that could connect artists and machine learning models. We wanted to make art creation very simple with the help of Magenta."
Magenta is built on top of the Google TensorFlow system and is now open source. The project also plans to publish the code on Github. The person in charge said: "This concept is still in its infancy, but we believe it will develop rapidly."
This is not Google's first test of the machine art creation system. Google's DeepDream algorithm (originally used to visualize neural networks) has now become a popular imaging tool. With the help of DeepDream, Google opened an art exhibition earlier this year. In addition, Google has developed an artist and machine intelligence project to support its further vision in robotics.
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