BP神经网络源码.rar

[{"title":"（ 31 个子文件 9.14MB ） BP神经网络源码.rar","children":[{"title":"BP神经网络源码","children":[{"title":"Linear_Backward.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"multi_class.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"说明文档.txt <span style='color:#111;'> 189B </span>","children":null,"spread":false},{"title":"testCases.py <span style='color:#111;'> 6.36KB </span>","children":null,"spread":false},{"title":"Linear_Forward.py <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"lineRegress.py <span style='color:#111;'> 785B </span>","children":null,"spread":false},{"title":"L_layer_model.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"Linear_Activation_Backward.py <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"init_para.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"RMSprop.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"ex4data1.mat <span style='color:#111;'> 7.16MB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 737B </span>","children":null,"spread":false},{"title":"L_model_forward.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"L_model_backward.py <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"adam.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"Linear_Activation_Forward.py <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"cost_func.py <span style='color:#111;'> 940B </span>","children":null,"spread":false},{"title":"dnn_utils.py <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false},{"title":"ex1data1.txt <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"[1]data.mat <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"Update_Parameters.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"lr_utils.py <span style='color:#111;'> 880B </span>","children":null,"spread":false},{"title":"momentum.py <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"myHyperopt.py <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"mini_batch.py <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false},{"title":"test2.py <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"ex1data2.txt <span style='color:#111;'> 657B </span>","children":null,"spread":false},{"title":"gradient_check.py <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"train_catvnoncat.h5 <span style='color:#111;'> 2.45MB </span>","children":null,"spread":false},{"title":"test_catvnoncat.h5 <span style='color:#111;'> 602.50KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]