Session #06: LSTM Recurrent Neural Networks

Topic: Long-Short Term Memory Recurrent Neural Networks
Date: February 19th 2016 at 4:30pm
Presenter: Leo (Siyu Liao)
Links: LSTM Paper (Neural Computation 1997), Understanding LSTMs
Description: LSTMs have recently gained popularity as an implementation for recurrent neural networks that specifically addresses the vanishing gradient problem found with recurrent backpropagation. They have been applied to a variety of sequence-to-sequence prediction tasks such as image captioning, machine translation, and generative modeling of documents.