Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
You can not select more than 25 topics
Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
bushuhui
bfc77bbde6
|
3 years ago | |
|---|---|---|
| .. | ||
| cheatsheet | 3 years ago | |
| images | 4 years ago | |
| logistic_regression_demo | 4 years ago | |
| nn | 4 years ago | |
| python | 4 years ago | |
| pytorch | 4 years ago | |
| supervised_learning | 4 years ago | |
| InstallPython.md | 3 years ago | |
| InstallPython_EN.md | 4 years ago | |
| Intro_to_Deep_Learning.pdf | 4 years ago | |
| Matplotlib.ipynb | 4 years ago | |
| SciPy.ipynb | 4 years ago | |
| Scikit-learn.ipynb | 4 years ago | |
| Seaborn.ipynb | 4 years ago | |
| Statsmodels.ipynb | 4 years ago | |
| The Matrix Calculus You Need For Deep Learning.pdf | 4 years ago | |
| confusion_matrix.ipynb | 4 years ago | |
| dataset_CIFAR-10.py | 4 years ago | |
| dataset_circles.csv | 4 years ago | |
| datasets.ipynb | 3 years ago | |
| notebook_tips.ipynb | 4 years ago | |
| 构建深度神经网络的一些实战建议.md | 4 years ago | |
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