吴恩达Coursera深度学习课程 deeplearning.ai (2-1) 深度学习实践--作业（可执行源码）

[{"title":"（ 31 个子文件 10.4MB ） 吴恩达Coursera深度学习课程 deeplearning.ai (2-1) 深度学习实践--作业（可执行源码）","children":[{"title":"c2w1","children":[{"title":"testCases.py <span style='color:#111;'> 4.75KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"dropout2_kiank.mp4 <span style='color:#111;'> 2.35MB </span>","children":null,"spread":false},{"title":"dictionary_to_vector.png <span style='color:#111;'> 121.78KB </span>","children":null,"spread":false},{"title":"dropout1_kiank.mp4 <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false},{"title":"1Dgrad_kiank.png <span style='color:#111;'> 173.42KB </span>","children":null,"spread":false},{"title":"NDgrad_kiank.png <span style='color:#111;'> 176.37KB </span>","children":null,"spread":false},{"title":"handforward_kiank.png <span style='color:#111;'> 2.14MB </span>","children":null,"spread":false},{"title":"handbackward_kiank.png <span style='color:#111;'> 1.67MB </span>","children":null,"spread":false},{"title":"field_kiank.png <span style='color:#111;'> 120.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"hytg_regularization","children":[{"title":"__pycache__","children":[{"title":"reg_utils.cpython-36.pyc <span style='color:#111;'> 9.47KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 161B </span>","children":null,"spread":false}],"spread":true},{"title":"regularization.py <span style='color:#111;'> 12.54KB </span>","children":null,"spread":false},{"title":"reg_utils.py <span style='color:#111;'> 10.48KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"testCases.cpython-36.pyc <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false}],"spread":true},{"title":"hytg_gradientCheck","children":[{"title":"1-D_gradientCheck.py <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"n-D_gradientCheck.py <span style='color:#111;'> 5.90KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"gc_utils.py <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"hytg_Initialization","children":[{"title":"__pycache__","children":[{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 161B </span>","children":null,"spread":false},{"title":"init_utils.cpython-36.pyc <span style='color:#111;'> 6.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"init_utils.py <span style='color:#111;'> 7.54KB </span>","children":null,"spread":false},{"title":"initialization.py <span style='color:#111;'> 7.44KB </span>","children":null,"spread":false}],"spread":true},{"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},{"title":"data.mat <span style='color:#111;'> 5.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"ipynb","children":[{"title":"2.Regularization.ipynb <span style='color:#111;'> 37.87KB </span>","children":null,"spread":false},{"title":"3.Gradient+Checking.ipynb <span style='color:#111;'> 25.51KB </span>","children":null,"spread":false},{"title":"1.Initialization.ipynb <span style='color:#111;'> 24.62KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]