13- Implementing a neural network for music genre classification

In this video, l implement a music genre classifier using Tensorflow. The classifier is trained on MFCC features extracted from the music Marsyas dataset. While building the network, I also introduce a few fundamental deep learning concepts such as binary/multicalss classification, rectified linear units, batching, and overfitting.

Video slides:
https://github.com/musikalkemist/Deep...

Code:
https://github.com/musikalkemist/Deep...

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