Baidu Researchers Propose ‘HETERPS’ for Distributed Deep Learning with Reinforcement Learning-Based Scheduling in Heterogeneous Environments

Deep Neural Networks (DNNs) have succeeded greatly in several fields, including advertising systems, computer vision, and natural language processing. Large models with lots of layers, neurons, and parameters are often trained using plenty of data, which significantly boosts final accuracy. For example, the Click-Through Rate (CTR) prediction model, BERT, and ERNIE use a lot of […]

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