no code implementations • 27 Oct 2019 • R. Fioresi, P. Chaudhari, S. Soatto
Stochastic gradient descent (SGD) is a key ingredient in the training of deep neural networks and yet its geometrical significance appears elusive.
no code implementations • 18 Feb 2014 • P. Chaudhari, D. P. Rana, R. G. Mehta, N. J. Mistry, M. M. Raghuwanshi
In real world, the huge amount of temporal data is to be processed in many application areas such as scientific, financial, network monitoring, sensor data analysis.
