When weights in each layer are initialized from a Gaussian distribution \({\mathcal{N}}(0,{\sigma }_{W}^{2})\) and the size of hidden layers tend to infinity, the function f(x, θ) learned by training the network parameters θ with gradient descent on a squared loss to zero ...
Transfecting mammalian cells: optimization ofcritical parameters affecting calcium-phosphate precipitateformation Nucleic AcidsRes., 24 (1996), pp. 596-601 View in ScopusGoogle Scholar Cited by (68) Lysosomal acid lipase deficiency - An under-recognized cause of dyslipidaemia and liver dysfunction 2014...