Magenta - Revision history

BPeat at 02:55, 6 December 2023

2023-12-06T02:55:14Z

BPeat at 11:34, 2 November 2019

2019-11-02T11:34:58Z

BPeat at 10:19, 14 May 2019

2019-05-14T10:19:29Z

BPeat at 10:16, 14 May 2019

2019-05-14T10:16:04Z

BPeat at 02:14, 14 May 2019

2019-05-14T02:14:11Z

BPeat at 02:08, 14 May 2019

2019-05-14T02:08:15Z

BPeat at 02:07, 14 May 2019

2019-05-14T02:07:46Z

BPeat at 02:03, 14 May 2019

2019-05-14T02:03:45Z

BPeat at 02:02, 14 May 2019

2019-05-14T02:02:50Z

BPeat at 02:01, 14 May 2019

2019-05-14T02:01:03Z

← Older revision		Revision as of 02:55, 6 December 2023
Line 14:		Line 14:
	* [http://magenta.tensorflow.org/nsynth NSynth: Neural Audio Synthesis] - acoustic qualities of the learned instrument		* [http://magenta.tensorflow.org/nsynth NSynth: Neural Audio Synthesis] - acoustic qualities of the learned instrument

−	Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[~~Javascript~~]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!	+	Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[JavaScript]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!

@@ Line 8: / Line 8: @@
 [http://www.google.com/search?q=Magenta+Magenta.js+tensoflow.js Google search...]
-* [[Music]]
+* [[Art]] & [[Music]]
 * [[TensorFlow.js]]
 * [http://github.com/tensorflow/magenta-demos/blob/master/README.md#Installation Magenta Demos - GitHub]

← Older revision		Revision as of 10:19, 14 May 2019
Line 19:		Line 19:
	<youtube>GJfjKdpmN6g</youtube>		<youtube>GJfjKdpmN6g</youtube>
	<youtube>2f20d0LJSuk</youtube>		<youtube>2f20d0LJSuk</youtube>
		+	<youtube>rU2ieu5o5DQ</youtube>
		+	<youtube>AaALLWQmCdI</youtube>

@@ Line 10: / Line 10: @@
 * [[Music]]
 * [[TensorFlow.js]]
 * [http://magenta.tensorflow.org/music-vae MusicVAE: Creating a palette for musical scores with machine learning | Roberts, engel, Raffel, Simon, and Hawthorne]
-* [http://github.com/tensorflow/magenta-demos/blob/master/README.md#Installation Magenta Demos - GitHub]
+* [http://magenta.tensorflow.org/nsynth NSynth: Neural Audio Synthesis] - acoustic qualities of the learned instrument
 Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[Javascript]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!

@@ Line 10: / Line 10: @@
 * [[Music]]
 * [[TensorFlow.js]]
 * [http://github.com/tensorflow/magenta-demos/blob/master/README.md#Installation Magenta Demos - GitHub]

@@ Line 11: / Line 11: @@
 * [[TensorFlow.js]]
-Make Music and Art: Magenta is distributed as an open source Python library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[Javascript]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!
+Make Music and Art: Magenta is distributed as an open source [[Python]] library, powered by [[TensorFlow]]. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models. An open source research project exploring the role of machine learning as a tool in the creative process. An open source [[Javascript]] API for using the pre-trained Magenta models in the browser. It is built with [[TensorFlow.js]], which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!
 <youtube>GJfjKdpmN6g</youtube>
 <youtube>2f20d0LJSuk</youtube>