Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS

Download Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS
Artist: Farmers Manual
Album: glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS
Rating: 4.0

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Filename: farmers-manual-glaguegeneralgen.zip
  • MP3 size: 5.7 mb
  • FLAC size: 31.8 mb
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Review by deZengo Moore

The album "glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS" by Farmers Manual is a unique and experimental work of art. The album is characterized by its complex and intricate rhythms, which are a result of the band's use of unsupervised machine learning algorithms.

The album has a very distinct and futuristic sound, which is a testament to the band's innovative approach to music-making. The album is filled with glitchy and abstract sounds, which are layered on top of each other to create a rich and textured sonic landscape.

One of the standout tracks on the album is "Refinement of Rhythmic Patterns," which showcases the band's ability to create complex and evolving rhythms that are both hypnotic and engaging. Another standout track is "Unsupervised Learning," which features a driving beat and an array of glitchy and distorted sounds that create a sense of chaos and disorientation.

Table of Contents

Tracks

TrackDurationPreview
glague_general_gen (UNSUPERVISED_LEARNING_AND_REFINEMENT_OF_RHYTHMIC_PATTERNS) part_1

Images

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Catalog Numbers

gt26

Labels

generate and test

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Formats

  • File
  • MP3
  • 320 kbps

Notes

  • Farmers Manual is an electronic music and visual art group, founded in Vienna in the beginning of the 1990s. This computer set mode to c’mon in dictation on the B minor Asian. All ReachOut has paragraph and has a hot rod UART 13 of the real problems with seen a shift away levels here promotion and unsuccessful menu change and use the case yet this and this year amended in step 0 for restructuring and chill for Celsius until Vander all the four sources that are real and organs to be called from as a place you’ll Flushing’s police and how often initially and rendering rulz lives and the madness of all this is the hell is extreme frequencies fat and salt and flickering image’s bourse your office.
  • credits
  • released September 9, 2016
  • spectral cuts
  • license
  • some rights reserved

About Farmers Manual

Album herunterladen Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNSlataa albumi Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNSbaixar álbum Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNSladda ner album Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNStélécharger l'album Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNSlast ned album Farmers Manual - glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS
Thus far has been used as a group name, track title, album title in , and label . "farmersmanual is a self-generating memeplex lazily self-organised around the enterprise of doped-out electronics. Since 1996 it has been evolving as a subsurface autopoetic process with erratic overt activity consistently transmitting a unique quality of pathology and beauty skimming the bow-wave of mainstream aesthetics." Farmers Manual is (or was) Mathias Gmachl (member of ), Stefan Possert (also known as znrR), Oswald Berthold (also known as , , , and member of ) Gert Brantner () and Nik Gaffney (aka. /).

Name Vars

  • Farmersmanual
  • Framers Manual
  • Framers Manul
  • Framersmacuel
  • farmersmanual

Aliases

  • Emanuel Frakt

Members

  • Oswald Berthold
  • Mathias Gmachl
  • Gert Brantner
  • nik gaffney
dezengo

Summary by deZengo Moore

"glaguegeneralgen UNSUPERVISEDLEARNINGANDREFINEMENTOFRHYTHMICPATTERNS" is a must-listen for anyone who is interested in experimental music or electronic music. The album is a testament to the power of technology and the creative potential of unsupervised machine learning algorithms.

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