Implementing a Neural Network for Music Genre Classification

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.

Introduction
Load data
Network architecture
Binary classification
Batching
Full batch
Mini batch