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.
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
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