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Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs

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Kirill Eremenko

This document provides an overview of LSTM (Long Short-Term Memory) architecture. It includes a brief history of LSTM, diagrams of the LSTM cell structure, and explanations of how LSTM handles vanishing and exploding gradients problems in traditional RNNs. Source materials and additional references on understanding LSTM are also provided.

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© SuperDataScienceDeep Learning A-Z
© SuperDataScienceDeep Learning A-Z Today: • A bit of history • LSTM Architecture • Example walkthrough
© SuperDataScienceDeep Learning A-Z 517 Time 517 517 517 517 Win Wout Wrec Win Wout Wrec Win Wout Wrec Win Wout Wrec Win Wout yt εt xtxt-1xt-2xt-3 Formula Source: Razvan Pascanu et al. (2013) εt+1εt-1εt-2εt-3 Wrec ~ small Wrec ~ large Vanishing Exploding Wrec Wrec Wrec Wrec = 1 < 1 > 1
© SuperDataScienceDeep Learning A-Z Image Sources: people.idsia.ch, ics.usi.ch
© SuperDataScienceDeep Learning A-Z 517 Time 517 517 517
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io
© SuperDataScienceDeep Learning A-Z Image Source: arxiv.org/pdf/1503.04069.pdf
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io
© SuperDataScienceDeep Learning A-Z Ct-1 Image Source: colah.github.io Ct
© SuperDataScienceDeep Learning A-Z
© SuperDataScienceDeep Learning A-Z Ct-1 Image Source: colah.github.io Ct
© SuperDataScienceDeep Learning A-Z
© SuperDataScienceDeep Learning A-Z Ct-1 Image Source: colah.github.io Ct
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io Ct-1 Ct
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io Ct-1 Ct
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io Ct-1 Ct
© SuperDataScienceDeep Learning A-Z Image Source: colah.github.io Ct-1 Ct
© SuperDataScienceDeep Learning A-Z
© SuperDataScienceDeep Learning A-Z CtCt-1
© SuperDataScienceDeep Learning A-Z Long Short-Term Memory By Sepp Hochreiter & Jurgen Schmidhuber (1997) Link: http://www.bioinf.jku.at/publications/older/2604.pdf Additional Reading:
© SuperDataScienceDeep Learning A-Z Understanding LSTM Networks By Christopher Olah (2015) Link: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Additional Reading:
© SuperDataScienceDeep Learning A-Z Understanding LSTM and its diagrams By Shi Yan (2016) Link: https://medium.com/@shiyan/understanding-lstm-and-its-diagrams- 37e2f46f1714 Additional Reading:

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