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1
Introduction
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Load data
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Network architecture
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Binary classification
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Batching
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Full batch
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Mini batch
Description:
Implement a music genre classifier using TensorFlow in this 33-minute tutorial. Learn to train the classifier on MFCC features extracted from the Marsyas dataset while exploring fundamental deep learning concepts such as binary/multiclass classification, rectified linear units, batching, and overfitting. Access accompanying video slides and code on GitHub for a comprehensive learning experience. Gain practical insights into network architecture, data loading, and various classification approaches, including binary classification and mini-batch processing.

Implementing a Neural Network for Music Genre Classification

Valerio Velardo - The Sound of AI
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