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Direction-Only Optimisation for Neural Networks

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If you have a question about this talk, please contact Zoubin Ghahramani.

Short talk

Optimisation routines form an important part of many learning algorithms for neural networks, and variants of the stochastic gradient descent algorithm are popular choices in practice. In this talk I will briefly present the results of a small research project into the effectiveness of a direction-only optimisation technique in neural network learning, carried out as part of my initial year at the Cambridge Centre for Analysis DTC .

This talk is part of the Machine Learning @ CUED series.

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