In Lecture 10 we discuss the use of recurrent neural networks for modeling sequence data. We show how recurrent neural networks can be used for language modeling and image captioning, and how soft spatial attention can be incorporated into image captioning models. We discuss different architectures for recurrent neural networks, including Long Short Term Memory (LSTM) and Gated Recurrent Units (GRU). Keywords: Recurrent neural networks, RNN, language modeling, image captioning, soft attention, LSTM, GRU Slides: http://cs231n.stanford.edu/slides/201...