How to construct deep recurrent neural networks: Proceedings of the Second International Conference on Learning Representations (ICLR 2014)

Arts & Humanities

• Conventional 7%
• Language Modeling 13%
• Layer 7%
• Music 10%
• Neural Networks 11%
• Operator 8%
• Polyphonic 11%
• Prediction 8%
• Proceedings 62%
• Recurrent Neural Networks 100%

Social Sciences

• alternative interpretation 11%
• learning 23%
• music 7%
• neural network 82%
• Second International 99%

Engineering & Materials Science

• Deep neural networks 67%
• Recurrent neural networks 72%