An introductory course on deep learning methods with applications to machine translation, image recognition, game playing, image generation and more. A collaborative course incorporating labs in TensorFlow and peer brainstorming along with lectures. Course concludes with project proposals with feedback from staff and panel of industry sponsors.
This version of the course is outdated, please refer to our homepage for an updated version.
Jan 29 - Feb 2
10:30am-1:30pm, MIT Room 32-123
10:30am-11:15pm: Lecture Part 1
11:15am-12:00pm: Lecture Part 2
12:00pm-12:30pm: Snack Break
12:30pm-1:30pm: Lab (Hands-On TensorFlow Labs)
Project proposals will be 1-minute pitches of a novel deep learning algorithm, application, open-source contribution, plan to create an interesting dataset, or other contributions. Sponsors will judge and select top projects as award winners. Alternative to project proposal is to submit a 1-page review of an interesting deep learning paper.
If you are an MIT student (undergraduate or graduate) please register by submitting an add-drop form here. You can do this by clicking "create new form" and selecting "Add Drop". Enter the subject information (6.S191) and 3 units when prompted. You can also specify if you want to be registered as a listener or regular student there. If you would like to receive course related updates and lecture materials please sign up for our mailing list.
3 units P/D/F based on completion of project proposal assignment
Reach out to firstname.lastname@example.org.