The use of machine learning models in industry continues to grow. The goal of this bootcamp is to teach participants how to use deep learning (DL) tools to process data in different modalities, ranging from text, images and graphs. In this course, you will learn how to formulate your problems in the machine learning terms and how to effectively utilize existing deep learning packages to solve them. We will discuss issues that impact classification performance, foresee likely hurdles and explore possible remedies for improving model accuracy. This is a hands-on course where lectures will be supplemented by the guided practical tutorials and in class-programming labs where participants will learn how to implement, train and improve supervised models using PyTorch package.
Enrollment for this course is limited to 30 participants to allow for more personalized instruction.