Supervised Sequence Labelling with Recurrent Neural Networks - reading
LTI @ Carnegie Mellon University Supervised Sequence Labelling with Recurrent Neural Networks Kazuya Kawakami Alex Graves, Ph.D Thesis (2008) Chapter 4 to Chapter 7 LTI @ Carnegie Mellon University Recurrent Neural Networks • Benefit of Recurrent Networks - Learning representations of contextual information of sequence. • Limitations of RNNs - The range of accessible context is limited. (Vanish
Speech Recognition with Neural Networks - Andrew Gibiansky
We've previously talked about using recurrent neural networks for generating text, based on a similarly titled paper. Recently, recurrent neural networks have been successfully applied to the difficult problem of speech recognition. In this post, we'll look at the architecture that Graves et. al. propose in that paper for their task. Neural Network ArchitectureWe will begin by discussing the archi
Connectionist Temporal Classification (CTC) with Theano
Connectionist Temporal Classification (CTC) with Theano This will be the first time I’m trying to present code I’ve written in an ipython notebook. The style’s different, but I think I’ll permanently switch to this method of presentation for code-intensive posts from now on. A nifty little tool that makes doing this so convenient is ipy2wp. It uses WordPress’ xml-rpc to post the HTML directly to t
Multidimensional RNN
Some interesting generalizations of recurrent neural networks (RNNs)
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再帰型ニューラルネット in 機械学習プロフェッショナルシリーズ輪読会
IBM Video Streaming
RNNLIB: Connectionist Temporal Classification and Transcription Layer | Formula Coding
音声認識と深層学習
Deep Learningと音声認識 - Preferred Networks Research & Development
Supervised Sequence Labelling with Recurrent Neural Networks.pdf
A Novel Connectionist System for Unconstrained Handwriting Recognition - tpami_2009.pdf
https://github.com/yiwangbaidu/notes/blob/master/CTC/CTC.pdf
CTC for Offline Handwriting Recognition
https://fhtw.byu.edu/static/conf/2016/nina-classification-fhtw2016.pdf
音声認識分野における深層学習技術の研究動向
http://www.cs.toronto.edu/~graves/icml_2006.pdf
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks