CORDIS Project
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This project aims to enhance recurrent neural networks (RNNs) by developing new systems that can learn complex algorithms and improve performance on tasks requiring short-term memory. It focuses on creating benchmarks for testing these advanced RNN-like systems.
Recurrent neural networks (RNNs) are general parallel-sequential computers.
Some learn their programs or weights.
Our supervised Long Short-Term Memory (LSTM) RNNs were the first to win pattern recognition contests, and recently enabled best known results in speech and handwriting recognition, machine translation, etc.
They are now available to billions of users through the world's most valuable public companies including Google and Apple.
Nevertheless, in lots of real-world tasks RNNs do not ye…
UNIVERSITA DELLA SVIZZERA ITALIANA
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