文件名称：matlab代码中向量的点乘-ml_andrew_ng_python:ml_andrew_ng_python
文件大小：38.12MB
文件格式：ZIP
更新时间：2024-06-12 11:22:00
系统开源
matlab代码中向量的点乘
【文件预览】：
ml_andrew_ng_python-main
----ex1_Linear_Regression()
--------ex1_Linear_Regression.ipynb(371KB)
--------utils.py(2KB)
--------Figures()
--------Data()
--------polynomial_regression.ipynb(261KB)
--------mini_batch_gradient_descent.ipynb(5KB)
----.vscode()
--------settings.json(44B)
----submission.py(4KB)
----ex8_Anomaly_Recommendations()
--------exercise8.ipynb(393KB)
--------utils.py(9KB)
--------Figures()
--------Data()
----ex7_Clustering_PCA()
--------utils.py(8KB)
--------Figures()
--------Data()
--------exercise7.ipynb(1.82MB)
----environment.yml(149B)
----ex5_Regularized_Lin_Regression-Bias_vs_ Variance()
--------utils.py(5KB)
--------exercise5.ipynb(139KB)
--------Figures()
--------Data()
----ex3_Neural_Networks()
--------Neural_Networks.ipynb(512KB)
--------utils.py(3KB)
--------Figures()
--------ex3_Neural_Networks.ipynb(511KB)
--------Data()
----README.md(8KB)
----ex4_Neural_Networks_Back_Prop()
--------utils.py(8KB)
--------exercise4.ipynb(349KB)
--------Figures()
--------Data()
----ex2_Logistic Regression()
--------utils.py(5KB)
--------Figures()
--------logistic_regression.ipynb(207KB)
--------Data()
--------ex2_Logistic Regression.ipynb(330KB)
----machinelearning.jpg(66KB)
----ex6_Support_Vector_Machines()
--------utils.py(23KB)
--------Figures()
--------exercise6.ipynb(388KB)
--------Data()
----.gitignore(1KB)