MIT's introductory program 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. Program 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), we'll try to exp
2:00pm-2:45pm: Lecture Part 1 2:45pm-3:30pm: Lecture Part 2 3:30pm-5:00pm: Software Labs
The 2023 in-person edition has completed during MIT IAP 2023 and was held in MIT Room 32-123 . The online edition of the course is now live on Friday at 10am ET, every week! Subscribe here to be notified when a new lecture is released!
Jose Javier Gonzalez Ortiz