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README.md | 4 years ago | |
ann_classification.py | 4 years ago | |
nn-3-layer-network.png | 4 years ago | |
nn-from-scratch.ipynb | 4 years ago | |
nn-from-scratch.py | 4 years ago | |
nn_from_scratch.py | 4 years ago | |
requirements.txt | 4 years ago | |
simple_classification.py | 4 years ago |
Please read the blog post that goes with this code!
# Create and activate new virtual environment (optional)
virtualenv venv
source venv/bin/activate
# Install requirements
pip install -r requirements.txt
# Start the notebook server
jupyter notebook
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》。
Jupyter Notebook SVG Python Text CSV other