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1
Introduction
2
Preprocessing
3
Training
4
Training Sequences
5
Building the Network
6
Building the Model
7
Input Layer
8
Adding Nodes
9
Building the Upper Layer
10
Compile the Model
11
Train the Model
12
Save the Model
13
Testing the Model
14
Conclusion
Description:
Build and train an LSTM network capable of generating folk songs using Tensorflow and Keras in this 31-minute tutorial video. Explore the Keras functional API while learning preprocessing techniques, creating training sequences, and constructing a neural network model. Follow along as the instructor guides you through adding input layers, nodes, and upper layers before compiling, training, and saving the model. Conclude by testing the newly created melody generator and gain insights into the process of developing AI-powered music composition tools.

Training a Long-Short Term Memory Network for Melody Generation

Valerio Velardo - The Sound of AI
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