文件名称：Mathematics-behind-Machine-Learning:MATH 789的课程资料
文件大小：15.65MB
文件格式：ZIP
更新时间：2024-04-09 17:07:59
JupyterNotebook
机器学习背后的数学 RIT的MATH 789课程资料
【文件预览】：
Mathematics-behind-Machine-Learning-main
----README.md(74B)
----MATH 789()
--------Gaussian Mixture Model.ipynb(26KB)
--------Vaidya_Homework_3.pdf(230KB)
--------homework2()
--------Hitesh_Vaidya_VC_dimension.pdf(64KB)
--------homework3()
--------Hitesh_Vaidya_VAE.pdf(702KB)
--------mind map.pdf(58KB)
--------Hitesh_Vaidya_Spectral_Networks.pdf(78KB)
--------Vaidya_Double Descent.pdf(302KB)
--------homework4()
--------Hitesh_Vaidya_Wasserstein_GANs.pdf(74KB)
--------Final Project()
--------Hitesh_Vaidya_Rethinking_Generalization.pdf(102KB)