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Lecture 10: Recurrent Neural Networks

Fei-Fei Li & Justin Johnson & Serena YeungLecture 10 -May 4, 2017 Fei-Fei Li & Justin Johnson & Serena YeungLecture 10 -May 4, 20171 Lecture 10: Recurrent Neural NetworksFei-Fei Li & Justin Johnson & Serena YeungLecture 10 -May 4, 20172 AdministrativeA1 grades will go out soonA2 is due today (11:59pm)Midterm is in-class on Tuesday!We will send out details on where to go soonFei-Fei Li & Justin Johnson & Serena YeungLecture 10 -May 4, 20173 Extra Credit: Train GameMore details on Piazza by early next weekFei-Fei Li & Justin Johnson & Serena YeungLecture 10 -May 4, 20174 Last Time: CNN ArchitecturesAlexNetFigure copyright Kaiming He, 2016.

Recurrent Neural Network x RNN y We can process a sequence of vectors x by applying a recurrence formula at every time step: Notice: the same function and the same set of parameters are used at every time step. Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 10 - …

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