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[人工智能/神经网络/深度学习] fawkes-robotino

RCLL Carologistics口味的福克斯，
Fawkes for the RCLL Carologistics Flavor, (2023-09-20, CLIPS, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1695260399452027.html

[人工智能/神经网络/深度学习] Virtual-Try-on-using-Flask

使用烧瓶进行虚拟试运行，，
Virtual Try on using Flask,, (2023-09-10, HTML, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1694458842540365.html

[人工智能/神经网络/深度学习] machine-learning-course-by-stanford-university

斯坦福大学机器学习课程
Machine Learning Course by Stanford University (2022-06-18, Python, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687842874161348.html

[人工智能/神经网络/深度学习] Machine_Learning

斯坦福大学提供的Coursera课程
A Coursera Course offered by Stanford University (2016-02-08, matlab, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687842120536156.html

[人工智能/神经网络/深度学习] Stanford-Machine-Learning-Course

斯坦福机器学习课程（Coursera）习题
Exercises of Stanford Machine Learning course (Coursera) (2016-05-15, matlab, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687842073619663.html

[人工智能/神经网络/深度学习] Coursera-Machine-Learning

机器学习，斯坦福大学通过Coursera
Machine Learning, Stanford via Coursera (2018-12-03, matlab, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687842064663881.html

[人工智能/神经网络/深度学习] machine-learning

斯坦福大学机器学习课程。
Stanford s Coursera course on machine learning. (2016-02-26, matlab, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687841668415837.html

[人工智能/神经网络/深度学习] Machine-Learning-Mooc

Andrew Ng的Coursera斯坦福课程
Coursera Stanford course by Andrew Ng (2015-09-16, matlab, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1687841628261382.html

[人工智能/神经网络/深度学习] cs224d_DeepLearningForNLP

斯坦福大学自然语言处理深度学习
Deep Learning for Nature Language Processing at Standford (2016-09-19, Python, 114411KB, 下载0次)

http://www.pudn.com/Download/item/id/1687270126734588.html

[人工智能/神经网络/深度学习] Will-Multi-modal-Data-Improves-Few-shot-Learning

多模态数据是否会改善少试学习，，
Will-Multi-modal-Data-Improves-Few-shot-Learning,, (2021-04-13, Python, 121KB, 下载0次)

http://www.pudn.com/Download/item/id/1686618614494229.html

[人工智能/神经网络/深度学习] cvpr09-defog

基于何开明论文的笛福模型
Defog model based on the paper from He Kaiming (2016-11-29, matlab, 13957KB, 下载0次)

http://www.pudn.com/Download/item/id/1480400981847864.html

[人工智能/神经网络/深度学习] ai-class

ai课堂，人工智能导论斯坦福课堂笔记
ai-class,Introduction to Artificial Intelligence Stanford class notes (2011-11-24, Others, 217KB, 下载0次)

http://www.pudn.com/Download/item/id/1322136053782513.html

[人工智能/神经网络/深度学习] Machine-Learning-Stanford

机器学习斯坦福大学，，
Machine-Learning-Stanford,, (2020-05-19, matlab, 133423KB, 下载0次)

http://www.pudn.com/Download/item/id/1589854885386536.html

[人工智能/神经网络/深度学习] CourseraML

斯坦福大学的CourseraML，使用Matlab的机器学习
CourseraML,Machine Learning Using Matlab By Stanford University (2019-07-15, matlab, 74176KB, 下载0次)

http://www.pudn.com/Download/item/id/1563138995666671.html

[人工智能/神经网络/深度学习] ml_standford

ml_standford，斯坦福大学的机器学习课程
ml_standford,Machine Learning Course at Standford (2021-03-19, matlab, 29636KB, 下载0次)

http://www.pudn.com/Download/item/id/1616144434470189.html

[人工智能/神经网络/深度学习] coursera-ML

coursera ML，斯坦福大学机器学习课程编程作业
coursera-ML,Stanford Machine Learning Class Programming Assignments (2017-07-16, matlab, 43286KB, 下载0次)

http://www.pudn.com/Download/item/id/1500214951967042.html

[人工智能/神经网络/深度学习] ML-cousera

ML cousera，斯坦福大学机器学习cousera编程任务
ML-cousera,Stanford Machine Learning Cousera Programming Assignment (2018-06-27, matlab, 8502KB, 下载0次)

http://www.pudn.com/Download/item/id/1530099811595741.html

[人工智能/神经网络/深度学习] ml-class

ml课程，2011年秋季，斯坦福机器学习课程
ml-class,Fall 2011, Stanford Machine learning class (2011-11-07, matlab, 27795KB, 下载0次)

http://www.pudn.com/Download/item/id/1320656830866689.html

[人工智能/神经网络/深度学习] mlclass

mlclass，我的斯坦福机器学习课程解决方案
mlclass,My solutions for Stanford Machine Learning Class (2012-10-29, matlab, 16191KB, 下载0次)

http://www.pudn.com/Download/item/id/1351467573973567.html

[人工智能/神经网络/深度学习] mlclass

mlclass，斯坦福大学机器学习班的练习。
mlclass,Exercises from the Stanford machine learning class. (2011-12-12, matlab, 36609KB, 下载0次)

http://www.pudn.com/Download/item/id/1323660538131119.html

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