New architectures for very deep learning
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Srivastava, Rupesh Kumar
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Schmidhuber, Jürgen (degree supervisor)
116 p
Thèse de doctorat: Università della Svizzera italiana, 2018
English
Artificial Neural Networks are increasingly being used in complex real- world applications because many-layered (i.e., deep) architectures can now be trained on large quantities of data. However, training even deeper, and therefore more powerful networks, has hit a barrier due to fundamental limitations in the design of existing networks. This thesis develops new architectures that, for... Show more…
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Language
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Classification
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Computer science
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License
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License undefined
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Persistent URL
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https://susi.usi.ch/usi/documents/318812