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Breakthroughs in Efficient Deep Learning

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Using Convex Optimization for Larger Neural Networks

This chapter explores the possibility of utilizing efficient optimization algorithms, such as convex optimization, to tackle the challenges posed by larger neural networks. It discusses the potential of casting deep nonlinear neural networks as convex optimization problems and the hope to explore the topic further in future discussions.

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