About: Alex Graves (computer scientist)

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Alex Graves was a research scientist at DeepMind. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. He was also a postdoc under Jürgen Schmidhuber at TU Munich and under Geoffrey Hinton at the University of Toronto. Graves is also the creator of neural Turing machines and the closely related differentiable neural computer.

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  • Alex Graves was a research scientist at DeepMind. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. He was also a postdoc under Jürgen Schmidhuber at TU Munich and under Geoffrey Hinton at the University of Toronto. At IDSIA, he trained long short-term memory neural networks by a novel method called connectionist temporal classification (CTC). This method outperformed traditional speech recognition models in certain applications. In 2009, his CTC-trained LSTM was the first recurrent neural network to win pattern recognition contests, winning several competitions in connected handwriting recognition.This method has become very popular. Google uses CTC-trained LSTM for speech recognition on the smartphone. Graves is also the creator of neural Turing machines and the closely related differentiable neural computer. (en)
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  • Alex Graves was a research scientist at DeepMind. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. He was also a postdoc under Jürgen Schmidhuber at TU Munich and under Geoffrey Hinton at the University of Toronto. Graves is also the creator of neural Turing machines and the closely related differentiable neural computer. (en)
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  • Alex Graves (computer scientist) (en)
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