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This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.

Jupyter Notebook 96.85% Python 0.39% CSS 1.07% JavaScript 0.21% HTML 1.48%
music-genre-classification audio-signal-processing cnn-classification deep-learning flask gtzan-dataset webapp flask-application flask-webapp

music-genre-classification's Introduction

Hello ๐Ÿค™ I'm Melih GULUM

A passionate machine learning and deep learning developer from Turkey

  • ๐Ÿ”ญ Iโ€™m currently studying Computer Science

  • ๐ŸŒฑ Iโ€™m currently learning machine learning algorithms in tensorflow and neural language processing

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at my website

  • ๐Ÿ“ I regularly write articles on my personal Medium account

  • ๐Ÿ’ฌ Ask me about anything!

  • ๐Ÿ“ซ You can reach me from [email protected]

โ˜• Connect with me:

melih-gulum melihgulum @melih-gulum

๐Ÿงฐ Languages, Tools and Frameworks:

java python postgresql mysql html html javascript flask librosa git opencv pytorch scikit_learn tensorflow

๐Ÿ“ˆ Github Stats:

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