# Generating Sequences With Recurrent Neural Networks

**Authors:** Alex Graves  
**arXiv:** [1308.0850](https://arxiv.org/abs/1308.0850)  
**Date:** 2013-08-04  
**Summary page:** https://www.summarizepaper.com/fr/paper/1308.0850v1/

## 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.