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Generating Sequences with Recurrent Neural Networks

Aug 29, 2022 About 1 hour 31 mins

目標使用 LSTM 進行 sequence generation 作者 Alex Graves 隸屬單位 University of Toronto 期刊... Read More

#BPTT #LSTM #RNN #language model #model architecture #neural network
The Penn Treebank: Annotating Predicate Argument Structure

Aug 19, 2022 About 27 mins

目標在 Penn Treebank 上額外標記 text categories、predicate argument structure、grammatical functions、semantic roles 作者 Mitch... Read More

#Penn Treebank #part of speech #constituent parse #predicate argument structure #semantic role labeling
Building a Large Annotated Corpus of English : The Penn Treebank

Aug 12, 2022 About 1 hour 52 mins

目標建立大型文字標記資料集，基於 Brown Corpus 的詞性標記作修改作者 Mitchell Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz 隸屬... Read More

#Penn Treebank #part of speech #constituent parse
A Standard Corpus of Edited Present-Day American English

Aug 06, 2022 About 52 mins

目標建立大型文字標記資料集作者 W. Nelson Francis 隸屬單位 University of Brown 期刊/會議名稱 ... Read More

#Brown Corpus #part of speech
Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling

Mar 01, 2022 About 17 mins

目標嘗試分散式平型化訓練 LSTM 進行字典範圍較大的語音辨識作者 Hasim Sak, Andrew W. Senior, Françoise Beaufays 隸屬單位 Googl... Read More

#LSTM #LSTMP #model architecture #neural network
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Scale Vocabulary Speech Recognition

Mar 01, 2022 About 29 mins

目標嘗試以 LSTM 進行字典範圍較大的語音辨識作者 Hasim Sak, Andrew W. Senior, Françoise Beaufays 隸屬單位 Google ... Read More

#LSTM #LSTMP #model architecture #neural network
Learning Precise Timing with LSTM Recurrent Networks

Dec 29, 2021 About 1 hour 28 mins

目標在 LSTM 上加入 peephole connections 作者 Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber 隸屬單位 ... Read More

#RNN #LSTM #model architecture #neural network
Finding Structure in Time

Dec 21, 2021 About 29 mins

目標提出 Elman Net 作者 Jeffrey L. Elman 期刊/會議名稱 Cognitive Science 發表時間 1990... Read More

#RNN #Elman Net #model architecture #neural network
Learning to Forget: Continual Prediction with LSTM

Dec 13, 2021 About 1 hour 7 mins

目標提出在 LSTM 上增加 forget gate 作者 Felix A. Gers, Jürgen Schmidhuber, Fred Cummins 期刊/會議名稱 Neural... Read More

#RNN #LSTM #model architecture #neural network
Learning representations by back-propagating errors

Dec 07, 2021 About 44 mins

目標提出 back-propagation 作者 David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams 期刊/會議名稱 Nat... Read More

#back-propagation #gradient descent #neural network

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