Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train… (More)

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2017

2017

- Corentin Tallec, Yann Ollivier
- ArXiv
- 2017

Truncated Backpropagation Through Time (truncated BPTT, [Jae05]) is a widespread method for learning recurrent computational… (More)

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2017

2017

Truncated Backpropagation Through Time (truncated BPTT, Jaeger (2005)) is a widespread method for learning recurrent… (More)

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2016

2016

- Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
- NIPS
- 2016

We propose a novel approach to reduce memory consumption of the backpropagation through time (BPTT) algorithm when training… (More)

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2015

2015

- Michiel Hermans, Joni Dambre, Peter Bienstman
- IEEE Transactions on Neural Networks and Learning…
- 2015

Delay-coupled optoelectronic systems form promising candidates to act as powerful information processing devices. In this brief… (More)

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2013

2013

- Jiang Hong Guo
- 2013

This report provides detailed description and necessary derivations for the BackPropagation Through Time (BPTT) algorithm. BPTT… (More)

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2010

2010

- Petia D. Koprinkova-Hristova
- Int. J. Neural Syst.
- 2010

The paper considers gradient training of fuzzy logic controller (FLC) presented in the form of neural network structure. The… (More)

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2007

2007

- Mario Ventresca, Hamid R. Tizhoosh
- 2007 IEEE Symposium on Foundations of…
- 2007

Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the… (More)

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1998

1998

The “inverted pendulum problem” is perhaps the most widely used benchmarking study to assess the effectiveness of emerging… (More)

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1994

1994

- Françoise Beaufays, Eric A. Wan
- Neural Computation
- 1994

We show that signal ow graph theory provides a simple way to relate two popular algorithms used for adapting dynamic neural… (More)

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Review

1990

Review

1990

- Paul J. Werbos
- 1990

Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a… (More)

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