“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...
Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Marine Colonel Who Resigned Because Of Trump Says Personnel Should Question 'Illegal ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) ...
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