Libraries like TensorFlow.js and ml5.js unlocked new opportunities for interactive machine learning projects in the browser. The goal of this class is to learn and understand common machine learning techniques and apply them to generate creative outputs in the browser. This class will start with running models in the browser using high-level APIs from ml5.js, as well as explore the Layer APIs from TensorFlow.js to train models using custom data. This class will also cover preparing the dataset for training models. At the completion of this course, students will have a better understanding of a few machine learning models, how do they work, how to train these models, and their use case to creative projects. Students will also be able to create interactive ML web applications with pre-trained models or their own models. Prospective students are expected to have taken an ICM (Introduction to Computational Media) course, or have an equivalent programming experience with JavaScript, HTML, CSS.
Interactive Telecommunications (Graduate)
4 credits – 14 Weeks
Sections (Spring 2024)
ITPG-GT 2465-000 (14764)01/26/2024 – 05/03/2024 Fri6:00 PM – 8:00 PM (Evening)at Brooklyn CampusInstructed by Shi, Yining