Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Music Recommendation System
Páleník, Radoslav ; Hrubý, Martin (oponent) ; Zbořil, František (vedoucí práce)
This bachelor thesis aims to study and design computer program, which will be able to recognise 10 essential music genres using deep learning. This classification was implemented by convolutional neural network based on Tensorflow framework. This network process audio file into segments in form of spectograms and returns percentual propability of record being classified into specific genre by features found in spectogram.
Music Recommendation System
Páleník, Radoslav ; Hrubý, Martin (oponent) ; Zbořil, František (vedoucí práce)
This bachelor thesis aims to study and design computer program, which will be able to recognise 10 essential music genres using deep learning. This classification was implemented by convolutional neural network based on Tensorflow framework. This network process audio file into segments in form of spectograms and returns percentual propability of record being classified into specific genre by features found in spectogram.

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