Visualizing and Understanding Recurrent Networks

5 Jun 2015 Andrej Karpathy Justin Johnson Li Fei-Fei

Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoying renewed interest as a result of successful applications in a wide range of machine learning problems that involve sequential data. However, while LSTMs provide exceptional results in practice, the source of their performance and their limitations remain rather poorly understood... (read more)

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