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Document type:
Bachelorarbeit 
Type detailled:
Experimentell 
Author(s):
Tao Xiang 
Title:
Extending a Newton-CG Second-order Optimizer to Natural Language Processing 
Abstract:
While Convolutional Neural Networks (CNNs) are a prominent class of machine learning models that are mainly applied to analyze visual imagery, Recurrent Neural Networks (RNNs) and the cutting-edge Attention Networks, Transformer Networks are another significant class of machine learning models that are mainly applied to deal with Natural Language Processing problems (NLP). Training these networks requires vast computing resources: due to a large amount of training data and due to the many t...    »
 
Supervisor:
Hans-Joachim Bungartz 
Advisor:
Severin Reiz 
Year:
2021 
Quarter:
3. Quartal 
Year / month:
2021-08 
Month:
Aug 
Language:
en 
University:
Technical University of Munich 
Faculty:
Fakultät für Informatik