ARTI 300 - Machine Learning Frameworks

In this course, students will learn practical skills in using popular Machine Learning libraries. They will work with real-world datasets to build, train, and deploy machine learning models. Students will implement common architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), gaining hands-on experience with various ML frameworks.
Prerequisites ARTI-200 and CMIT-235
Credits: 3