In this course, you'll learn to create basic machine learning models that you train to recognize sounds of dogs, cats, and birds. You will also integrate visual recognition to identify images of these animals. Through the course of your learning, you can also build a basic user-interface in Node-RED that shows the results of the predictions for both sound and images.
You will use IBM Watson Studio to build classification models to predict and identify animal sounds and use IBM Watson Visual Recognition to identify the images of those animals. You will also learn to gather and prepare data, create and deploy models, deploy and test a signal processing application, create models with binary and multiclass classifications, and display the predictions on a web page.