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动手学深度学习

结合理论与实践的深度学习教材和课程

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About this tool

动手学深度学习是结合理论与实践的深度学习教材和课程,提供中英文版本。课程以通俗易懂的方式讲解深度学习的核心概念,如神经网络、卷积神经网络、循环神经网络等,通过大量代码示例和实践项目

面向中文读者的能运行、可讨论的深…

含 PyTorch、NumPy/MXNet、TensorFlow 和 PaddlePaddle 实现

Key features

  • 理论教学
  • 实践指导
  • 资源支持
  • 教学与自学

Use cases and audience

待编辑核验

  • 计算机视觉
  • 自然语言处理(NLP)
  • 语音识别
  • 推荐系统
Input待编辑核验
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Output待编辑核验

Sources

《动手学深度学习》 — 动手学深度学习 2.0.0 documentation动手学深度学习 - 结合理论与实践的深度学习教材和课程 | AI工具集Updated on 2026-10-17

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