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Music Generation - Google Magenta Best Demo NIPS 2016 LSTM RNN - Deep Learning: Zero to One

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Konten disediakan oleh Sam Putnam. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Sam Putnam atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
I talk through generating 10 melodies, two of which I play at the conclusion using a model trained on thousands of midi examples contained in a .mag Magenta file bundle. I used the Biaxial RNN (https://github.com/hexahedria/biaxial-rnn-music-composition) by a student named Daniel Johnson and the Basic RNN (https://github.com/tensorflow/magenta/tree/master/magenta/models/melody_rnn#basic) by Google's Magenta group within TensorFlow and learned that priming a melody with a single note can set the key for each generated melody, and, Anaconda's single 'source activate' line replaces the need for virtualenv and installs all of the necessary dependencies to make this environment easily reproducible. 2 - 3 more details are posted at: https://medium.com/@SamPutnam/deep-learning-zero-to-one-music-generation-46c9a7d82c02
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Manage episode 230562701 series 1397651
Konten disediakan oleh Sam Putnam. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Sam Putnam atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
I talk through generating 10 melodies, two of which I play at the conclusion using a model trained on thousands of midi examples contained in a .mag Magenta file bundle. I used the Biaxial RNN (https://github.com/hexahedria/biaxial-rnn-music-composition) by a student named Daniel Johnson and the Basic RNN (https://github.com/tensorflow/magenta/tree/master/magenta/models/melody_rnn#basic) by Google's Magenta group within TensorFlow and learned that priming a melody with a single note can set the key for each generated melody, and, Anaconda's single 'source activate' line replaces the need for virtualenv and installs all of the necessary dependencies to make this environment easily reproducible. 2 - 3 more details are posted at: https://medium.com/@SamPutnam/deep-learning-zero-to-one-music-generation-46c9a7d82c02
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