Deep Learning for Audio in Python: Neural Networks, CNNs and LSTMs

Audio Signal Processing Fundamentals for Deep Learning

Learn how digital audio works and how to extract meaningful features like MFCCs and spectrograms that neural networks can learn from.

Building and Training a Neural Network from Scratch

Understand how neural networks work internally by building a multilayer perceptron from scratch and training it on audio feature data.

Building Audio Classifiers with TensorFlow and Keras

Use TensorFlow and Keras to build, compile, and train multilayer perceptron models for audio genre classification.

Convolutional Neural Networks for Audio Spectrograms

Learn how CNNs extract spatial patterns from spectrogram images and build a CNN-based audio genre classifier in TensorFlow.

LSTM Networks for Sequential Audio Classification

Understand how LSTMs model temporal dependencies in audio sequences and build an LSTM-based genre classifier using TensorFlow.