Introduction to Embedded Machine Learning 3.1.2 - Audio Data Capture скачать в хорошем качестве

Introduction to Embedded Machine Learning 3.1.2 - Audio Data Capture

Embedded machine learning is the process of running machine learning algorithms (including deep learning) on embedded systems, such as microcontrollers and single board computers. These videos come from the Coursera course: Introduction to Embedded Machine Learning. If you would like to take the full course, complete projects, and earn a certificate in embedded machine learning, please go here: https://www.coursera.org/learn/introd... Shawn demonstrates how audio files can be mixed to create additional data samples in a process known as "data augmentation." Possible keywords are curated to create a dataset that can be used to train a keyword spotting system.