Now showing items 1-2 of 2

    • Automated multistep classifier sizing and training for deep learner 

      Tyagi, Kanishka; 0000-0002-6104-1645 (2018-08-13)
      Training algorithms for deep learning have recently been proposed with notable success, beating the start-of-the-art in certain areas like audio, speech and language processing. The key role is played by learning multiple ...
    • SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS 

      Kheirkhah, Parastoo (2016-08-17)
      A systematic two-step batch approach for constructing a sparse neural network is presented. Unlike other sparse neural networks, the proposed paradigm uses orthogonal least squares (OLS) to train the network. OLS based ...