Taught by: Harini Suresh & Nick Locascio, MIT (April 26, 2017)
Video: An Introduction to LSTMs in TensorFlow (59:45)
Description: Long Short-Term Memory networks (LSTMs) are a type of recurrent neural network (RNN) that can capture long-term dependencies, which are frequently used for natural language modeling and speech recognition. This tutorial covers the conceptual basics of LSTMs and implements a basic LSTM in TensorFlow. The second part of the tutorial introduces the basics of TensorFlow, an open-source software package used for implementing neural networks.
Slides: An Introduction to LSTMs in TensorFlow
Additional Resources:
- GitHub: iPython tutorials (code and data files, Jupyter Notebook)
- GitHub: iPython and TensorFlow setup
