Literaturverzeichnis

Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep learning. MIT press.

Sepp Hochreiter. 1998. The vanishing gradient problem during learning recurrent neural nets and problem solutions. International Journal of Uncertainty, Fuzziness

Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735–1780.

Christopher Olah. 2015. Understanding LSTM Networks.  colah's blog. https://colah.github.io/posts/2015-08-Understanding-LSTMs/ (Accessed 22.09.2024)

Manu Rastogi. 2020. Tutorial on LSTMs: A computational perspective.  Medium. https://towardsdatascience.com/tutorial-on-lstm-a-computational-perspective-f3417442c2cd#4019 (Accessed 23.09.2024)

Ryan T. J. J.. 2020. LSTMs Explained: A Complete, Technically Accurate, Conceptual Guide with Keras.  Medium. https://medium.com/analytics-vidhya/lstms-explained-a-complete-technically-accurate-conceptual-guide-with-keras-2a650327e8f2 (Accessed 22.09.2024)

Felix A. Gers, Jürgen Schmidhuber, and Fred Cummins. 2000.  Learning to Forget: Continual Prediction with LSTM. Neural Computation  12, 10 (10 2000), 2451–2471. 

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