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Name: DeepLearning
Type: User
Name: DeepLearning
Type: User
这是一篇对交叉熵深入理解的博客
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
数据结构与算法分析_java语言描述_Mark_Allen_Weiss著_课后习题答案.pdf
每次新建环境后, bash make.sh 都会出问题,什么 “gcc”错误
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
C++那些事
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
运行Darknet时,c文件需要编译,window下解决环境问题才能使用make,及其他一些问题
DataLoader 返回一个可迭代对象,用for循环;或者用迭代器iter ,然后next(),每next一次,获取下一条数据
将数据集制定成训练集和测试集或再加验证集的一些方法
深度学习与PyTorch入门实战视频教程
Pytorch implementation of deep person re-identification models.
A paper list of object detection using deep learning.
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
A collection of various deep learning architectures, models, and tips
深度学习入门,老老实实敲代码,debug,理解每一行代码的作用
这是https://github.com/rasbt/deeplearning-models 上的,具体路径是pytorch_ipynb/mechanics/cnn-weight-sharing.ipynb。 共享w参数
Deep Learning Examples
这是一篇关于,用docker打包好项目及其环境后镜像 项目名称为DDAG_reid行人重识别,并运行该镜像的教程
安装双系统
pytorch0.4.1 python3.6 cuda9.0 cuDNNv7
这是关于运行github里面faster rcnn出现的各种问题,最终跑通
这事关于对kaggle数据集的处理,使数据能够喂给网络。另外有关于数据处理的 https://pytorch.org/tutorials/beginner/data_loading_tutorial.html
format的三种方法 print(‘ ’.format( ))以及 print( ' %5s : %2d, %%' % (xx, xx))
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.