Project Magenta: Music and Art with Machine Learning (Google I/O '17) скачать в хорошем качестве

Project Magenta: Music and Art with Machine Learning (Google I/O '17)

Google Brain researcher Douglas Eck explores Magenta, an innovative project that leverages TensorFlow to create art and music through the power of deep neural networks and reinforcement learning. Discover how this initiative embraces the artistic and musical community. We dive into the technical details and challenges faced in building generative models. No machine learning expertise is necessary to engage with this Google I/O session. Chapters: 0:00 - Intro 1:37 - Enable artists and musicians with ML 3:18 - Focus: Deep learning and reinforcement learning 4:24 - Project 1: Sketch-RNN 5:25 - Autoencoders 6:11 - Generative model for vector images 7:28 - Trained on Quickdraw 7:48 - AutoDraw 8:07 - Demo 12:19 - Generatlization, not memorization 14:10 - Project 2: NSynth 14:43 - WaveNet 18:15 - NSynth temporal autoencoder using WaveNet 23:47 - Nsynth dataset 25:18 - Resources See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Watch more Android talks at I/O '17 here: https://goo.gl/c0LWYl Watch more Chrome talks at I/O '17 here: https://goo.gl/Q1bFGY Watch more Firebase talks at I/O '17 here: https://goo.gl/pmO4Dr Subscribe to Google for Developers → https://goo.gle/developers #io17 #GoogleIO #GoogleIO2017 #Art #Music event: Google I/O 2017; re_ty: Publish;