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Data Parallel MNIST with DTensor and TensorFlow Core
TensorFlow 是 Google 开发的开源机器学习框架，用于数值计算和构建模型。文章介绍了 DTensor 101 的核心概念，包括 Mesh、Layout 和 SPMD 分布式训练技术，并展示了如何使用 Adam 优化器在 MNIST 数据集上进行训练。 2025-9-9 08:0:12 Author: hackernoon.com(查看原文) 阅读量:2 收藏
TensorFlow 是 Google 开发的开源机器学习框架，用于数值计算和构建模型。文章介绍了 DTensor 101 的核心概念，包括 Mesh、Layout 和 SPMD 分布式训练技术，并展示了如何使用 Adam 优化器在 MNIST 数据集上进行训练。 2025-9-9 08:0:12 Author: hackernoon.com(查看原文) 阅读量:2 收藏
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