Creative Applications of Deep Learning with TensorFlow III

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Creative Applications of Deep Learning with TensorFlow III

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Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Kadenze online courses
Kadenze brings together educators, artists, and engineers from leading universities across the globe to provide world-class education in the fields of art and creative technology.
Kadenze brings together educators, artists, and engineers from leading universities across the globe to provide world-class education in the fields of art and creative technology.
Provider Subject Specialization
Arts & Design
Sciences & Technology
8 reviews

Course Description

This course extends our existing background in Deep Learning to state of the art techniques in audio, image and text modeling. We'll see how dilated convolutions can be used to model long term temporal dependencies efficiently using a model called WaveNet. We'll also see how to inspect the representations in deep networks using a deep generator network, leading to some of the strongest insights into deep networks and the representations they learn. We'll then switch gears to one of the most exciting directions in Deep Learning thus far: Reinforcement Learning. We'll take a brief tour of this fascinating topic and explore toolkits released by OpenAI, DeepMind, and Microsoft. Finally, we're teaming up with Google Brain's Magenta Lab for our last session on Music and Art Generation. We'll explore Magenta's libraries using RNNs and Reinforcement Learning to create generative and improvised music.

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