Doctoral thesis

New architectures for very deep learning

  • Srivastava, Rupesh Kumar
  • Schmidhuber, Jürgen (degree supervisor)
    01.02.2018

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…
Language
  • English
Classification
Computer science
License
License undefined
Identifiers
Persistent URL
https://susi.usi.ch/usi/documents/318812