Università della Svizzera italiana

New architectures for very deep learning

Srivastava, Rupesh Kumar ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO006.

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 the...

Consortium of Swiss Academic Libraries

Neuroevolution: from architectures to learning

Floreano, Dario ; Dürr, Peter ; Mattiussi, Claudio

In: Evolutionary Intelligence, 2008, vol. 1, no. 1, p. 47-62