image_captioning:使用在COntext（MS COCO）数据集中的Microsoft Common Objects上训练的CNN-RNN模型生成图像的标题

[{"title":"（ 17 个子文件 2.09MB ） image_captioning:使用在COntext（MS COCO）数据集中的Microsoft Common Objects上训练的CNN-RNN模型生成图像的标题","children":[{"title":"image_captioning-master","children":[{"title":".gitignore <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"3_Inference.ipynb <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"vocabulary.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"1_Preliminaries.ipynb <span style='color:#111;'> 35.44KB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 49B </span>","children":null,"spread":false},{"title":"data_loader.py <span style='color:#111;'> 7.70KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 10.96KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 4.20KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"decoder.png <span style='color:#111;'> 232.78KB </span>","children":null,"spread":false},{"title":"encoder-decoder.png <span style='color:#111;'> 295.42KB </span>","children":null,"spread":false},{"title":"coco-examples.jpg <span style='color:#111;'> 94.52KB </span>","children":null,"spread":false},{"title":"encoder.png <span style='color:#111;'> 383.40KB </span>","children":null,"spread":false}],"spread":true},{"title":"0_Dataset.ipynb <span style='color:#111;'> 268.08KB </span>","children":null,"spread":false},{"title":"vocab.pkl <span style='color:#111;'> 236.55KB </span>","children":null,"spread":false},{"title":"2_Training.ipynb <span style='color:#111;'> 35.06KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]