Introduction to Deep Learning

This is MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), and we'll try to explain everything else along the way! Experience in Python is helpful but not necessary.

This program offers a structured path from fundamentals to mastery, ensuring you gain practical, job-ready skills that are recognized by global employers. Whether you're starting a new career or leveling up your current expertise, this learning experience is optimized for your success.