THE BRAZIL-EUROPEAN UNION STRATEGIC PARTNERSHIP, FROM LULA TO DILMA ROUSSEFF: A SHIFT OF FOCUS



Sparse neural network optimization by Simulated Annealing

The over-parameterization of neural networks and the local optimality of backpropagation algorithm have been two major problems associated with deep-learning.In order staff to reduce the redundancy of neural network parameters, the conventional approach has been to prune branches with small weights.However, this only solves the problem of parameter

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