深度学习相关网址

Posted 2023-04-09 瞻邈

• 深度学习教学网址

Unsupervised Feature Learning and Deep Learning Tutorial

GitHub - rasmusbergpalm/DeepLearnToolbox: Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Deep Learning

• 计算机视觉研究团队

Computer Vision Research Groups

• 行业先驱

Serge Belongie at UC San Diego

Antonio Torralba at MIT

Alexei Ffros at CMU

Ce Liu at Microsoft Research New England

Vittorio Ferrari at Univ.of Edinburgh

Kristen Grauman at UT Austin

Devi Parikh at  TTI-Chicago (Marr Prize at ICCV2011)

John Wright at Columbia Univ.

Piotr Dollar at CalTech

Boris Babenko at UC San Diego

David Ross at Google/Youtube

David Donoho at Stanford Univ.

William T. Freeman at MIT

Roberto Cipolla at Cambridge

David Lowe at Univ. of British Columbia

Mubarak Shah at Univ. of Central Florida

Yi Ma at MSRA

Tinne Tuytelaars at K.U. Leuven

Trevor Darrell at U.C. Berkeley

Michael J. Black at Brown Univ.

• 开源库整理

mloss | All entries

• 查找paper和code的网址

Browse the State-of-the-Art in Machine Learning | Papers With Code

• 数据集查找网址

公开数据集下载，优质机器学习数据集，图像识别、NLP免费获取 | 格物钛，非结构化数据平台 数据集列表 | 伯乐

• 目标检测数据集

Computer Vision Datasets

• 标注工具

图像标注：labelme，LabelImg，Labelbox，RectLabel，CVAT，VIA 半自动ocr

标注：PPOCRLabel

NLP标注工具：labelstudio pytorch代码和论文结合注释： labml.ai Annotated PyTorch Paper Implementations

参考文献

https://www.cnblogs.com/kshenf/archive/2012/02/07/2342034.html

学习深度学习网址

1.从零开始学习深度学习的网址，包括全连接神经网络、卷积神经网络、循环神经网络等等：

https://www.zybuluo.com/hanbingtao/note/485480

2.python 2学习的网址：

https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000