@inproceedings{guenter2013stochastic,
author = {Guenter, Brian and Yu, Dong and Eversole, Adam and Kuchaiev, Oleksii and Seltzer, Mike},
title = {Stochastic Gradient Descent Algorithm in the Computational Network Toolkit},
booktitle = {OPT2013: NIPS Workshop on Optimization for Machine Learning},
year = {2013},
month = {December},
abstract = {We introduce the stochastic gradient descent algorithm used in the computational network toolkit (CNTK) — a general purpose machine learning toolkit written in C++ for training and using models that can be expressed as a computational network. We describe the algorithm used to compute the gradients automatically for a given network. We also propose a low-cost automatic learning rate selection algorithm and demonstrate that it works well in practice.},
url = {http://approjects.co.za/?big=en-us/research/publication/stochastic-gradient-descent-algorithm-in-the-computational-network-toolkit/},
edition = {OPT2013: NIPS Workshop on Optimization for Machine Learning},
}