Audio Classification with TensorFlow

In this guided project, we are going to create a deep learning model and train it to learn to classify audio files. Audio classification usually does not get the same kind of attention as image classification with deep learning - this could be because audio processing that is typically used in such scenarios is not as straight forward as image data. In this project, we will look at one such processing to convert raw audio into spectrograms before using them in a convolutional neural network.

You will need prior programming experience in Python. Some experience with TensorFlow is recommended. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, convolutional neural networks, and optimization algorithms like gradient descent but want to understand how to use TensorFlow to classify audio.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.