2013 GeneratingSequencesWithRecurren

• (Graves, 2013) ⇒ Alex Graves. (2013). “Generating Sequences With Recurrent Neural Networks.” In: CoRR, abs/1308.0850.

Subject Headings: Handwriting Generation, LSTM Cell.

Notes

• http://cs.toronto.edu/~graves/gen_seq_rnn.pdf
• http://cs.toronto.edu/~graves/handwriting.html demo

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Generating+Sequences+With+Recurrent+Neural+Networks

Quotes

Abstract

This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range structure, simply by predicting one data point at a time. The approach is demonstrated for text (where the data are discrete) and online handwriting (where the data are real-valued). It is then extended to handwriting synthesis by allowing the network to condition its predictions on a text sequence. The resulting system is able to generate highly realistic cursive handwriting in a wide variety of styles.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 GeneratingSequencesWithRecurren	Alex Graves			Generating Sequences With Recurrent Neural Networks