[{"title":"( 14 个子文件 10.49MB ) 利用50层ResNet实现手势数字的识别","children":[{"title":"assign8","children":[{"title":"images","children":[{"title":"convblock_kiank.png <span style='color:#111;'> 43.60KB </span>","children":null,"spread":false},{"title":"vanishing_grad_kiank.png <span style='color:#111;'> 75.70KB </span>","children":null,"spread":false},{"title":"my_image.jpg <span style='color:#111;'> 933.57KB </span>","children":null,"spread":false},{"title":"signs_data_kiank.png <span style='color:#111;'> 465.07KB </span>","children":null,"spread":false},{"title":"skip_connection_kiank.png <span style='color:#111;'> 68.15KB </span>","children":null,"spread":false},{"title":"idblock3_kiank.png <span style='color:#111;'> 42.83KB </span>","children":null,"spread":false},{"title":"resnet_kiank.png <span style='color:#111;'> 49.04KB </span>","children":null,"spread":false},{"title":"idblock2_kiank.png <span style='color:#111;'> 33.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"resnets_utils.cpython-35.pyc <span style='color:#111;'> 3.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"test_dataset.py <span style='color:#111;'> 404B </span>","children":null,"spread":false},{"title":"resnets_utils.py <span style='color:#111;'> 4.76KB </span>","children":null,"spread":false},{"title":"resnet_gesture.py <span style='color:#111;'> 8.38KB </span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"test_signs.h5 <span style='color:#111;'> 1.41MB </span>","children":null,"spread":false},{"title":"train_signs.h5 <span style='color:#111;'> 12.67MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]