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Microsoft
2nd-order Optimization for Neural Network Training
Neural networks have become the main workhorse of supervised learning, and their efficient training is an important technical challenge which has received a lot of attention. While stochastic gradient descent (SGD) with momentum works well enough in many situations, its performance declines dramatically as networks become deeper and more ...
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