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näkemys - Stacking for Efficient Training
Stacking as Accelerated Gradient Descent: Theoretical Explanation and Practical Implications
Stacking implements Nesterov's accelerated gradient descent, accelerating training of deep neural networks.
Understanding Stacking as Accelerated Gradient Descent in Deep Learning Architectures
The author explains how stacking implements Nesterov's accelerated gradient descent, providing a theoretical basis for its efficacy in training deep neural networks.
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