
Stacking implements Nesterov's accelerated gradient descent, accelerating training of deep neural networks.


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stacking-as-accelerated-gradient-descent-theoretical-explanation-and-practical-implications


Stacking as Accelerated Gradient Descent: Theoretical Explanation and Practical Implications


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The author explains how stacking implements Nesterov's accelerated gradient descent, providing a theoretical basis for its efficacy in training deep neural networks.


understanding-stacking-as-accelerated-gradient-descent-in-deep-learning-architectures


Understanding Stacking as Accelerated Gradient Descent in Deep Learning Architectures
