recurrent neural networks feedforward neural networks Jürgen Schmidhuber Swiss AI Lab IDSIA pattern recognition machine learning long short term memory handwriting recognition neural networks learning recurrent neural network memory recurrent
Between 2009 and 2012, the recurrent neural networks and deep feedforward neural networks developed in the research group of Jürgen Schmidhuber at the Swiss AI Lab IDSIA have won eight international competitions in pattern recognition and machine learning. For example, multi-dimensional long short term memory (LSTM) won three competitions in connected handwriting recognition at the 2009 International Conference on Document Analysis and Recognition (ICDAR), without any prior knowledge about the three different languages to be learned.
