Ditemukan 1 dokumen yang sesuai dengan query
Graves, Alex
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The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions, this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the ...
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Berlin: [, Springer], 2012
e20398893
eBooks Universitas Indonesia Library
