Learn how to approach deep learning to a simple audio classification problem with TensorFlow
Applying deep learning to classify audio with Tensorflow
We have seen a lot of recent advances in deep learning related to vision and language fields, it is intuitive to understand why CNN performs very well on images, with pixel’s local correlation, and how sequential models like RNNs or transformers also perform very well on language, with its sequential nature, but what about audio? what are the types of models and processes used when we are dealing with audio data?
In this article you will learn how to approach a simple audio classification problem, you will learn some of the common and efficient methods used, and the Tensorflow code to do it.
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