How to Implement a CNN for Music Genre Classification

Learn to implement a Convolutional Neural Network (CNN) for music genre classification using TensorFlow in this comprehensive 49-minute video tutorial. Explore the process of building a CNN, including max pooling and flattening output layers. Master techniques for compiling, testing, and performing inference with the model. Gain insights into cross-validation methods and practical application of CNNs in audio processing. Access accompanying code on GitHub and connect with the instructor, Valerio Velardo, through various social media platforms for further engagement and learning opportunities.

Introduction
Train to Split
Build CNN
Max Pooling
Flatten Output
Compile
Testing
Inference
Prediction