Matrix Vector Multiply
Coursera课程：吴恩达《机器学习》（2022版）课后练习代码 （480个子文件） 
content_user_train.csv 11.66MB small_movies_Y.csv 8.07MB small_movies_R.csv 4.04MB content_item_train.csv 3.03MB small_movies_X.csv 509KB content_y_train.csv 227KB small_movie_list.csv 194KB content_item_vecs.csv 99KB small_movies_W.csv 49KB content_movie_list.csv 35KB small_movies_b.csv 5KB
C1_W2_Lab04_dot_notrans.gif 1.61MB lunar_lander.gif 416KB .gitignore 50B .gitignore 50B lunar_lander_model.h5 39KB work.iml 491B work.iml 491B C3_W3_A1_Assignment.ipynb 392.2MB Practice.ipynb 215.4MB Practice-checkpoint.ipynb 215.39MB C2_W3_Assignment.ipynb 2.69MB C2_W3_Assignment-checkpoint.ipynb 2.03MB C1_W1_Lab04_Cost_function_Soln.ipynb 1.52MB C1_W1_Lab04_Cost_function_Soln-checkpoint.ipynb 1.52MB C1_W3_Lab04_LogisticLoss_Soln-checkpoint.ipynb 1.08MB C1_W3_Lab04_LogisticLoss_Soln.ipynb 1.08MB C2_W1_Lab02_CoffeeRoasting_TF.ipynb 800KB C2_W1_Lab02_CoffeeRoasting_TF-checkpoint.ipynb 768KB C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln.ipynb 730KB C3_W1_KMeans_Assignment-checkpoint.ipynb 632KB C3_W1_KMeans_Assignment.ipynb 578KB C2_W2_Multiclass_TF-checkpoint.ipynb 543KB C2_W2_Multiclass_TF.ipynb 519KB C1_W3_Lab06_Gradient_Descent_Soln.ipynb 491KB C2_W1_Lab03_CoffeeRoasting_Numpy.ipynb 397KB C2_W2_Relu.ipynb 345KB C1_W2_Lab04_FeatEng_PolyReg_Soln.ipynb 309KB C1_W2_Lab04_FeatEng_PolyReg_Soln-checkpoint.ipynb 309KB C1_W1_Lab05_Gradient_Descent_Soln.ipynb 291KB C1_W3_Lab06_One_Vs_All_Soln.ipynb 272KB C1_W3_Lab06_One_Vs_All_user.ipynb 272KB C3_W1_Anomaly_Detection.ipynb 246KB C3_W1_Anomaly_Detection-checkpoint.ipynb 246KB C2_W1_Lab01_Neurons_and_Layers.ipynb 170KB C2_W1_Lab01_Neurons_and_Layers-checkpoint.ipynb 169KB Untitled.ipynb 154KB C1_W3_Lab07_Overfitting_Soln.ipynb 152KB C1_W3_Lab07_Overfitting_user.ipynb 152KB C1_W3_Lab07_Overfitting_Soln.ipynb 152KB C1_W3_Lab07_Overfitting_user.ipynb 152KB C1_W3_Lab01_Classification_Soln.ipynb 131KB C1_W3_Lab08_Overfitting_Soln.ipynb 124KB C1_W3_Lab02_Sigmoid_function_Soln.ipynb 120KB C3_W2_RecSysNN_Assignment.ipynb 120KB C3_W2_RecSysNN_Assignment-checkpoint.ipynb 120KB C1_W3_Lab03_Decision_Boundary_Soln.ipynb 116KB C1_W3_Lab03_Decision_Boundary_Soln-checkpoint.ipynb 116KB Untitled.ipynb 111KB C1_W3_Lab05_Cost_Function_Soln.ipynb 94KB C1_W3_Lab05_Cost_Function_Soln-checkpoint.ipynb 94KB C1_W2_Lab02_Multiple_Variable_Soln.ipynb 77KB C1_W2_Lab05_Sklearn_GD_Soln.ipynb 75KB C2_W2_SoftMax.ipynb 71KB C2_W2_SoftMax-Copy1.ipynb 71KB C3_W3_A1_Assignment-checkpoint.ipynb 62KB C1_W3_Lab08_Overfitting_Soln.ipynb 62KB C1_W1_Lab03_Model_Representation_Soln.ipynb 57KB Practice.ipynb 57KB Practice-checkpoint.ipynb 57KB C3_W2_Collaborative_RecSys_Assignment.ipynb 48KB C3_W2_Collaborative_RecSys_Assignment-checkpoint.ipynb 47KB C2_W4_Decision_Tree_with_Markdown.ipynb 40KB C2_W4_Decision_Tree_with_Markdown-checkpoint.ipynb 39KB C1_W3_Lab03_Cost_Function_Soln.ipynb 37KB C1_W3_Lab03_Cost_Function_user.ipynb 36KB C1_W3_Lab03_Cost_Function_Soln.ipynb 35KB C1_W3_Lab03_Cost_Function_user.ipynb 35KB C1_W3_Lab02_Decision_Boundary_Soln.ipynb 31KB C1_W3_Lab02_Decision_Boundary_user.ipynb 31KB C1_W3_Lab06_One_Vs_All_Soln.ipynb 30KB C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb 30KB C1_W3_Lab06_One_Vs_All_user.ipynb 30KB C2_W2_Relu-checkpoint.ipynb 29KB C2_W2_SoftMax-Copy1-checkpoint.ipynb 26KB C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln-checkpoint.ipynb 25KB C1_W2_Lab01_Python_Numpy_Vectorization_Soln-checkpoint.ipynb 25KB C1_W2_Lab02_Multiple_Variable_Soln-checkpoint.ipynb 24KB C2_W2_SoftMax-checkpoint.ipynb 21KB C1_W1_Lab05_Gradient_Descent_Soln.ipynb 20KB C1_W3_Lab01_Sigmoid_function_Soln.ipynb 20KB C1_W3_Lab01_Sigmoid_function_user.ipynb 20KB C1_W1_Lab05_Gradient_Descent_Soln-checkpoint.ipynb 20KB C1_W3_Lab01_Sigmoid_function_Soln.ipynb 19KB C1_W3_Lab01_Sigmoid_function_user.ipynb 19KB C1_W2_Lab06_Sklearn_Normal_Soln-checkpoint.ipynb 18KB C1_W2_Lab06_Sklearn_Normal_Soln.ipynb 18KB C1_W3_Lab09_Regularization_Soln.ipynb 18KB C1_W3_Lab09_Regularization_Soln-checkpoint.ipynb 18KB 理解函数.ipynb 17KB共 480 条
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