资源简介
吴恩达机器学习python代码
代码片段和文件信息
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 215 2018-03-29 15:49 README.md
目录 0 2018-03-26 08:49 ex1-linear regression\
文件 267369 2018-03-26 08:34 ex1-linear regression\1.linear_regreesion_v1.ipynb
文件 141940 2018-03-26 08:34 ex1-linear regression\ML-Exercise1.ipynb
文件 489928 2018-03-26 08:34 ex1-linear regression\ex1.pdf
文件 1456 2018-03-26 08:34 ex1-linear regression\ex1data1.txt
文件 704 2018-03-26 08:34 ex1-linear regression\ex1data2.txt
目录 0 2018-03-26 08:49 ex2-logistic regression\
文件 303021 2018-03-26 08:34 ex2-logistic regression\1. logistic_regression_v1.ipynb
文件 103449 2018-03-26 08:34 ex2-logistic regression\ML-Exercise2.ipynb
文件 233661 2018-03-26 08:34 ex2-logistic regression\ex2.pdf
文件 3875 2018-03-26 08:34 ex2-logistic regression\ex2data1.txt
文件 2351 2018-03-26 08:34 ex2-logistic regression\ex2data2.txt
目录 0 2018-03-26 08:49 ex3-neural network\
文件 92908 2018-03-26 08:34 ex3-neural network\1- neural network.ipynb
文件 16641 2018-03-26 08:34 ex3-neural network\ML-Exercise3.ipynb
文件 293703 2018-03-26 08:34 ex3-neural network\ex3.pdf
文件 7511764 2018-03-26 08:34 ex3-neural network\ex3data1.mat
文件 79592 2018-03-26 08:34 ex3-neural network\ex3weights.mat
目录 0 2018-03-27 17:20 ex4-NN back propagation\
文件 199607 2018-03-27 11:32 ex4-NN back propagation\1- NN back propagation.ipynb
文件 23783 2018-03-27 11:30 ex4-NN back propagation\ML-Exercise4.ipynb
文件 356692 2018-03-26 08:34 ex4-NN back propagation\ex4.pdf
文件 7511764 2018-03-26 08:34 ex4-NN back propagation\ex4data1.mat
文件 79592 2018-03-26 08:34 ex4-NN back propagation\ex4weights.mat
目录 0 2018-03-27 17:20 ex5-bias vs variance\
文件 160315 2018-03-26 08:34 ex5-bias vs variance\ML-Exercise5.ipynb
文件 187357 2018-03-26 08:34 ex5-bias vs variance\ex5.pdf
文件 1321 2018-03-26 08:34 ex5-bias vs variance\ex5data1.mat
目录 0 2018-03-26 08:49 ex6-SVM\
文件 79294 2018-03-26 08:34 ex6-SVM\1- linear SVM.ipynb
............此处省略63个文件信息
----------- --------- ---------- ----- ----
文件 215 2018-03-29 15:49 README.md
目录 0 2018-03-26 08:49 ex1-linear regression\
文件 267369 2018-03-26 08:34 ex1-linear regression\1.linear_regreesion_v1.ipynb
文件 141940 2018-03-26 08:34 ex1-linear regression\ML-Exercise1.ipynb
文件 489928 2018-03-26 08:34 ex1-linear regression\ex1.pdf
文件 1456 2018-03-26 08:34 ex1-linear regression\ex1data1.txt
文件 704 2018-03-26 08:34 ex1-linear regression\ex1data2.txt
目录 0 2018-03-26 08:49 ex2-logistic regression\
文件 303021 2018-03-26 08:34 ex2-logistic regression\1. logistic_regression_v1.ipynb
文件 103449 2018-03-26 08:34 ex2-logistic regression\ML-Exercise2.ipynb
文件 233661 2018-03-26 08:34 ex2-logistic regression\ex2.pdf
文件 3875 2018-03-26 08:34 ex2-logistic regression\ex2data1.txt
文件 2351 2018-03-26 08:34 ex2-logistic regression\ex2data2.txt
目录 0 2018-03-26 08:49 ex3-neural network\
文件 92908 2018-03-26 08:34 ex3-neural network\1- neural network.ipynb
文件 16641 2018-03-26 08:34 ex3-neural network\ML-Exercise3.ipynb
文件 293703 2018-03-26 08:34 ex3-neural network\ex3.pdf
文件 7511764 2018-03-26 08:34 ex3-neural network\ex3data1.mat
文件 79592 2018-03-26 08:34 ex3-neural network\ex3weights.mat
目录 0 2018-03-27 17:20 ex4-NN back propagation\
文件 199607 2018-03-27 11:32 ex4-NN back propagation\1- NN back propagation.ipynb
文件 23783 2018-03-27 11:30 ex4-NN back propagation\ML-Exercise4.ipynb
文件 356692 2018-03-26 08:34 ex4-NN back propagation\ex4.pdf
文件 7511764 2018-03-26 08:34 ex4-NN back propagation\ex4data1.mat
文件 79592 2018-03-26 08:34 ex4-NN back propagation\ex4weights.mat
目录 0 2018-03-27 17:20 ex5-bias vs variance\
文件 160315 2018-03-26 08:34 ex5-bias vs variance\ML-Exercise5.ipynb
文件 187357 2018-03-26 08:34 ex5-bias vs variance\ex5.pdf
文件 1321 2018-03-26 08:34 ex5-bias vs variance\ex5data1.mat
目录 0 2018-03-26 08:49 ex6-SVM\
文件 79294 2018-03-26 08:34 ex6-SVM\1- linear SVM.ipynb
............此处省略63个文件信息
相关资源
- Python Machine Learning - Second Edition
- python machine learning 最新版 2nd second
-
BeginningAnomalyDetectionUsingPython-ba
sedD - Learning Jupyter 5 2nd Edition
- Learning Python 5th Edition.pdf
- deep learning with python 中文版的
- Statistics for Machine Learning
- Deep Learning with Applications Using Python C
- Grokking Deep Learning 正式版pdf
- 最新版高清彩色pdf + 源代码Hands-On M
- Learning pandas (second edition)
- tensorflow-2.0.0-cp36-cp36m-win_amd64.whl
- python machine learningpython机器学习(中
- Francois Chollet-Deep Learning with Python
- Deep learning with python中文版
- 《neural networks and deep learning》《神经
- Reinforcement Learning - With Open AI TensorFl
- Learning Python 5th Edition
- Python深度学习Deep Learning With Python中文
- Python Machine Learning(2nd) Python机器学
- HANDSON_DATA_SCIENCE_AND_PYTHON_MACHINE_LEARNI
- Building Machine Learning Systems with Python(
- 深度学习入门:基于Python的理论与实
- Deep Learning for Computer Vision with Python
- Python机器学习Python machine learning中英合
- Statistics+for+Machine+Learning-Packt+Publishi
- Python Machine Learning(第1版+第2版)-2
- 《Python深度学习》(Deep Learning With
- Introduction to Machine Learning with Python英文
- Thoughtful Machine Learning with Python: A Tes
评论
共有 条评论