Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
Role in this project:
ML Engineer / Data Scientist Contributions:1 review, 20 commits, 1 PR in 7 months
Contributions summary:Valerio primarily contributed to the development of deep learning models for audio processing. They implemented and refined neural networks, including an artificial neuron, a multi-layer perceptron (MLP) with backpropagation, and convolutional neural networks (CNNs) and recurrent neural networks (RNNs-LSTMs) for music genre classification. The contributions span from basic neural network building blocks to complete model implementations, including data preprocessing and model training. The user also worked on solving overfitting by implementing regularization and dropout techniques.
audiodeep-learningpythonyoutube
Repo with code and slides for the "Generating Melodies with RNN-LSTM" YouTuve series.
Contributions:11 commits, 10 pushes, 1 branch in 1 month
lstm