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cs.LG2017★ 5 cited
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Vamsi K Ithapu, Sathya N Ravi, Vikas Singh
We study mechanisms to characterize how the asymptotic convergence of backpropagation in deep architectures, in general, is related to the network structure, and how it may be infl…
cs.LG2015
Convergence of gradient based pre-training in Denoising autoencoders
Vamsi K Ithapu, Sathya Ravi, Vikas Singh
The success of deep architectures is at least in part attributed to the layer-by-layer unsupervised pre-training that initializes the network. Various papers have reported extensiv…