Backpropagation through time

Known as: BPTT 
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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Topic mentions per year

Topic mentions per year

1990-2018
051019902018

Papers overview

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2017
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
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
Delay-coupled optoelectronic systems form promising candidates to act as powerful information processing devices. In this brief… (More)
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2013
2013
This report provides detailed description and necessary derivations for the BackPropagation Through Time (BPTT) algorithm. BPTT… (More)
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2010
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
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
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
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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