Deep Learning for Audio with Python

Deep Learning for Audio with Python

Explore the theory and implementation of deep learning in Python, focusing on applications for audio and music while covering general algorithms and principles applicable to various domains. Dive into artificial neurons, neural networks, TensorFlow 2, audio data preprocessing, music genre classification, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. Implement neural networks from scratch, tackle overfitting, and gain hands-on experience in applying deep learning techniques to audio-related tasks using TensorFlow.