wangwei
/
machinelearning_notebook
Not watched
1
0
Fork 0
Code
Releases 0 Wiki Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain
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.
306 Commits
2 Branches
474 MB
2 Download
 
 
 
 
 
 
Tree: 75ceb02c4e
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '75ceb02c4e'
${ noResults }
machinelearning_notebook/7_deep_learning/1_CNN
bushuhui 45d8f39e0b Improve some contents 3 years ago
..
images Improve CNN description 3 years ago
01-basic_conv.ipynb Update some contents 3 years ago
02-LeNet5.ipynb Update some contents 3 years ago
03-AlexNet.ipynb Improve some contents 3 years ago
04-vgg.ipynb Update some contents 3 years ago
05-googlenet.ipynb Improve some contents 3 years ago
06-resnet.ipynb Update some contents 3 years ago
07-densenet.ipynb Improve some contents 3 years ago
08-batch-normalization.ipynb Improve some contents 3 years ago
09-lr-decay.ipynb Improve some contents 3 years ago
10-regularization.ipynb Improve some contents 3 years ago
11-data-augumentation.ipynb Improve some contents 3 years ago
CNN_Introduction.pptx Add references 3 years ago
README.md Improve CNN description 3 years ago
cat.png Improve description of PyTorch 4 years ago
utils.py Improve train of LeNet5/AlexNet/VGG/GoogLeNet/ResNet 3 years ago

README.md

卷积神经网络

卷积神经网络的发展历程

resnet-development.png

参考

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

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 CSV Text other