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machinelearning_notebook/2_pytorch/2_CNN
Shuhui Bu b4e8ebcb05 Refine nn, logistic regression 7 years ago
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basic_conv.ipynb add pytorch notebooks 7 years ago
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batch-normalization.ipynb Refine nn, logistic regression 7 years ago
batch-normalization.py Refine nn, logistic regression 7 years ago
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data-augumentation.ipynb add pytorch notebooks 7 years ago
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densenet.ipynb Refine nn, logistic regression 7 years ago
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机器学习越来越多应用到飞行器、机器人等领域，其目的是利用计算机实现类似人类的智能，从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术，通过具体的应用案例激发学生对该学科的兴趣，鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础，机器学习模型，无监督学习、监督学习、深度学习基础知识与实现，并学习如何利用机器学习解决实际问题，从而全面提升自我的《综合能力》。

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