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AI Bach GANS
Manage episode 281298139 series 1122024
Content provided by Keizo Akutagawa and Start by Keizo Akutagawa. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keizo Akutagawa and Start by Keizo Akutagawa or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
This music was composed by AI with deep learning algorithm which used standalone Keras with a Tensorflow 1.14 backend. It was trained by Bach's four-tone chorus dataset of 229 songs and played on LogicPro X. Using the method of extracting the characteristics of the composer by calculating the probability distribution of the pitch and length of the note that comes after each note. The official code repository for examples in the O'Reilly book 'Generative Deep Learning' https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/ https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
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125 episodes
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Manage episode 281298139 series 1122024
Content provided by Keizo Akutagawa and Start by Keizo Akutagawa. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keizo Akutagawa and Start by Keizo Akutagawa or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
This music was composed by AI with deep learning algorithm which used standalone Keras with a Tensorflow 1.14 backend. It was trained by Bach's four-tone chorus dataset of 229 songs and played on LogicPro X. Using the method of extracting the characteristics of the composer by calculating the probability distribution of the pitch and length of the note that comes after each note. The official code repository for examples in the O'Reilly book 'Generative Deep Learning' https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/ https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
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125 episodes
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Similar to OPEN MUSIC PERFORMANCE
Your favourite rock & metal podcast bringing you all the latest news, opinions, honest reviews and laughs every Friday. 100% passion, 100% honesty, 100% of the time. Join us. @notmetalpod on Twitter & Instagram. Come join the discussion with a likeminded community of music fans on the That's Not Metal Facebook Focus Group www.facebook.com/groups/TNMFocus/.
…
continue reading
#HeldeepRadio is the hottest radio show on the planet, brought to you by Dutch DJ and Electronic music producer, Oliver Heldens. Tune in every week with millions of global listeners to hear the very best in upfront house music, techno and everything in between, along with the latest releases from his Heldeep Records Label.
…
continue reading
The official podcast of MetalSucks, featuring Petar Spajic, Brandon Hahn and Jozalyn Sharp. One featured interview each week with a prominent metal musician, and discussion of the latest headlines in metal news. New episodes every Monday morning.
…
continue reading
Formerly the Metal Injection Livecast, a weekly skewering of pop culture and beyond from the minds of 3 rock fans. Hosted on Acast. See acast.com/privacy for more information.
…
continue reading
Celebrating its 20th anniversary in 2019, Songlines magazine covers the world's most exciting music from traditional and popular to contemporary and fusion, featuring artists from all around the globe. Songlines is packed full of the latest CD reviews, artist interviews, guides to particular world music traditions, concert-listings, travel stories and every issue comes with an exclusive compilation CD.
…
continue reading
Nothing but the blues, from the earliest to the latest, all genres
…
continue reading
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Go offline with the Player FM app!
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