吴恩达机器学习课后作业python代码.rar （132个子文件） 
5- PCA on face data-checkpoint.ipynb 1.8MB 5- PCA on face data.ipynb 1.8MB 3- kmeans for image compression-checkpoint.ipynb 402KB 3- kmeans for image compression.ipynb 402KB ML-Exercise7.ipynb 388KB 1. logistic_regression_v1-checkpoint.ipynb 296KB 1. logistic_regression_v1.ipynb 294KB 2. logistic_regression-checkpoint.ipynb 288KB 1.linear_regreesion_v1-checkpoint.ipynb 261KB 1.linear_regreesion_v1.ipynb 259KB 2- Gaussian kernels.ipynb 256KB 2- Gaussian kernels-checkpoint.ipynb 256KB 1.linear_regreesion-checkpoint.ipynb 237KB 2- 2D kmeans.ipynb 203KB 1- NN back propagation.ipynb 195KB 3- optional section-checkpoint.ipynb 185KB ML-Exercise7-checkpoint.ipynb 181KB ML-Exercise6-checkpoint.ipynb 179KB ML-Exercise6.ipynb 179KB 4- experiment with lambda constant for regularization-checkpoint.ipynb 177KB 1- NN back propagation-checkpoint.ipynb 163KB ML-Exercise5.ipynb 156KB ML-Exercise5-checkpoint.ipynb 156KB ML-Exercise8.ipynb 153KB ML-Exercise8-checkpoint.ipynb 153KB 1- visualize data-checkpoint.ipynb 138KB ML-Exercise1-checkpoint.ipynb 137KB ML-Exercise1.ipynb 137KB 1- linear SVM.ipynb 131KB 1- linear SVM-checkpoint.ipynb 131KB 2- logistic regression-checkpoint.ipynb 106KB 4- 2D PCA-checkpoint.ipynb 104KB 4- 2D PCA.ipynb 104KB ML-Exercise2-v1-checkpoint.ipynb 100KB ML-Exercise2-v1.ipynb 100KB 1- Anomaly detection.ipynb 93KB 1- Anomaly detection-checkpoint.ipynb 92KB 1- neural network-checkpoint.ipynb 92KB 1- neural network.ipynb 90KB 1- visualize data-checkpoint.ipynb 89KB 3- backpropagation-checkpoint.ipynb 87KB 4- tensoflow batch gradient decent-checkpoint.ipynb 87KB 3- regularized logistic regression-checkpoint.ipynb 76KB 2- batch gradient decent-checkpoint.ipynb 53KB 1- visualize data.ipynb 49KB 1- visualize data-checkpoint.ipynb 45KB ML-Exercise4-checkpoint.ipynb 25KB ML-Exercise4.ipynb 23KB ML-Exercise3.ipynb 16KB ML-Exercise3-checkpoint.ipynb 16KB 2- Recommender system-checkpoint.ipynb 14KB 2- Recommender system.ipynb 14KB 3- search for the best parameters-checkpoint.ipynb 11KB 3- search for the best parameters.ipynb 11KB 3- feed forward nn-checkpoint.ipynb 7KB 2- one vs all logistic regression-checkpoint.ipynb 7KB 2- the cost function-checkpoint.ipynb 7KB 4- spam filter.ipynb 6KB 4- spam filter-checkpoint.ipynb 6KB Untitled.ipynb 3KB Untitled-checkpoint.ipynb 78B ex7faces.mat 10.52MB ex4data1.mat 7.16MB ex3data1.mat 7.16MB ex4data1.mat 7.16MB spamTrain.mat 419KB ex8_movies.mat 218KB ex8_movieParams.mat 196KB spamTest.mat 110KB ex8data2.mat 91KB ex3weights.mat 78KB ex4weights.mat 78KB ex4weights.mat 78KB bird_small.mat 45KB ex8data1.mat 9KB ex6data2.mat 7KB ex6data3.mat 6KB ex7data2.mat 5KB ex5data1.mat 1KB ex7data1.mat 995B ex6data1.mat 981B
ex7.pdf 699KB ex1.pdf 478KB ex4.pdf 348KB ex6.pdf 328KB ex3.pdf 287KB ex8.pdf 242KB ex2.pdf 228KB ex5.pdf 183KB
nn_model.png 119KB f1_score.png 49KB nn_regcost.png 35KB bird_small.png 32KB nn_reg_grad.png 27KB pca_projection.png 23KB nn_cost.png 20KB logistic_cost.png 20KB linear_reg_gradient.png 19KB rcmd_cost.png 18KB logistic_gradient.png 15KB共 132 条
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刘敬璞2022-07-22真恶心到了，大家千万别下载，坑壁！
