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SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS
(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 ...
Automated multistep classifier sizing and training for deep learner
(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 ...