Generating Sequences With Recurrent Neural Networks.
arXiv: Neural and Evolutionary Computing(2013)
摘要
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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络