Discover the process of generating melody sequences for training an RNN-LSTM neural network in this informative video tutorial. Learn to map songs to a list, generate training samples, load songs, and create sequences. Explore concepts such as one-hot encoding, vocabulary size, and converting inputs to hot encoding. Gain insights into converting targets to empire arrays and generating training sequences. The tutorial also covers troubleshooting techniques to ensure smooth implementation. Access accompanying code on GitHub and join The Sound of AI community for further discussions and resources.
How to Create Melody Sequences to Train a Neural Network
Valerio Velardo - The Sound of AI via YouTube
Overview
Syllabus
Introduction
Mapping Songs to a List
Generating Training Samples
Load Songs
Generate Sequences
Num Sequences
Inputs
Example
One Hot Encoding
Vocabulary Size
Convert Inputs to Hot Encoding
Convert Targets to Empire Array
Generate Training Sequences
Troubleshooting
Taught by
Valerio Velardo - The Sound of AI
