AI and Creativity: Using Generative Models To Make New Things
I’ll discuss Magenta, a Google Brain project investigating music and art generation using deep learning and reinforcement learning. I’ll describe the goals of Magenta and how it fits into the general trend of AI moving into our daily lives. One crucial question is: Where does AI and Machine Learning fit in the creative process? I’ll argue that it’s about augmenting and extending the artist rather than just creating artifacts (songs, paintings, etc.) with machines. I’ll talk about two recent projects. In the first, we explore the use of recurrent neural networks to extend musical phrases in different ways. In the second we look at teaching a neural network to draw with strokes. This will be a high-level overview talk with no need for knowledge of AI or Machine Learning.
EVENT:
ML Conf 2017
SPEAKER:
Doug Eck
PERMISSIONS:
ML Conf Organizer provided Coding Tech with the permissions to republish this video.
CREDITS:
ML Conf YouTube channel: https://www.youtube.com/channel/UCjeM1xxYb_37bZfyparLS3Q
Original video source: https://www.youtube.com/watch?v=GD3PCXdHLbs
I’ll discuss Magenta, a Google Brain project investigating music and art generation using deep learning and reinforcement learning. I’ll describe the goals of Magenta and how it fits into the general trend of AI moving into our daily lives. One crucial question is: Where does AI and Machine Learning fit in the creative process? I’ll argue that it’s about augmenting and extending the artist rather than just creating artifacts (songs, paintings, etc.) with machines. I’ll talk about two recent projects. In the first, we explore the use of recurrent neural networks to extend musical phrases in different ways. In the second we look at teaching a neural network to draw with strokes. This will be a high-level overview talk with no need for knowledge of AI or Machine Learning.
EVENT:
ML Conf 2017
SPEAKER:
Doug Eck
PERMISSIONS:
ML Conf Organizer provided Coding Tech with the permissions to republish this video.
CREDITS:
ML Conf YouTube channel: https://www.youtube.com/channel/UCjeM1xxYb_37bZfyparLS3Q
Original video source: https://www.youtube.com/watch?v=GD3PCXdHLbs
