pytorch_advanced:它是一个存储库，其中放置了“边做边学！PyTorch开发深度学习”一书的实现代码。
需积分: 9 115 浏览量
2021-04-29
13:38:50
上传
评论 2
收藏 5.29MB ZIP 举报
pytorch_advanced-master.zip （94个子文件） 
pytorch_advanced-master etc 
pytorch_advanced.png 236KB 2_objectdetection 
.gitignore 88B utils data_augumentation.py 13KB match.py 6KB __init__.py 111B ssd_model.py 42KB ssd_predict_show.py 6KB 2-8_SSD_inference.ipynb 717KB 2-7_SSD_training.ipynb 104KB 2-8_SSD_inference_appendix.ipynb 13KB make_folders_and_data_downloads.ipynb 5KB 2-4-5_SSD_model_forward.ipynb 69KB data 
cowboy-757575_640.jpg 89KB 2-6_loss_function.ipynb 13KB 2-2-3_Dataset_DataLoader.ipynb 216KB README.md 2KB 4_pose_estimation .gitignore 118B utils data_augumentation.py 18KB decode_pose.py 23KB __init__.py 114B openpose_net.py 7KB dataloader.py 13KB 4-5_TensorBoardX.ipynb 15KB 4-6_OpenPose_training.ipynb 14KB 4-3-4_NetworkModel.ipynb 147KB make_folders_and_data_downloads.ipynb 5KB 4-7_OpenPose_inference.ipynb 1.16MB 4-2_DataLoader.ipynb 1.21MB data hit-1407826_640.jpg 96KB LICENSE 1KB 5_gan_generation .gitignore 36B make_folders_and_data_downloads.ipynb 11KB 5-4_SAGAN.ipynb 247KB 5-1_2_DCGAN.ipynb 164KB 3_semantic_segmentation .gitignore 88B utils data_augumentation.py 5KB pspnet.py 10KB __init__.py 81B dataloader.py 5KB 3-8_PSPNet_inference.ipynb 423KB 3-3-6_NetworkModel.ipynb 55KB make_folders_and_data_downloads.ipynb 4KB 3-7_PSPNet_training.ipynb 95KB 3-8_PSPNet_inference_appendix.ipynb 237KB data cowboy-757575_640.jpg 89KB 3-2_DataLoader.ipynb 139KB 7_nlp_sentiment_transformer 7-4_vectorize.ipynb 63KB .gitignore 317B 7-2_torchtext.ipynb 13KB 7-6_Transformer.ipynb 22KB utils __init__.py 53B transformer.py 7KB dataloader.py 4KB 7-1_Tokenizer.ipynb 7KB make_folders_and_data_downloads.ipynb 7KB data text_val.tsv 412B text_test.tsv 412B text_train.tsv 412B 7-7_transformer_training_inference.ipynb 71KB 7-5_IMDb_Dataset_DataLoader.ipynb 54KB 6_gan_anomaly_detection .gitignore 36B 6-2_AnoGAN.ipynb 280KB make_folders_and_data_downloads.ipynb 19KB 6-4_EfficientGAN.ipynb 538KB 8_nlp_sentiment_bert .gitignore 74B utils bert.py 30KB __init__.py 45B tokenizer.py 8KB 8-2-3_bert_base.ipynb 218KB make_folders_and_data_downloads.ipynb 7KB 8-4_bert_IMDb.ipynb 178KB 9_video_classification_eco 9-4_2_convert_mp4_to_jpeg.ipynb 5KB .gitignore 50B video_download kinetics_400_label_dicitionary.csv 7KB environment.yml 554B download.py 8KB kinetics-400_val_8videos.csv 372B utils eco.py 17KB __init__.py 61B kinetics400_eco_dataloader.py 10KB 9-2-3_eco.ipynb 36KB 9-4_1_kinetics_download_for_python2.ipynb 4KB 9-4_3_ECO_DataLoader.ipynb 31KB 9-5_ECO_inference.ipynb 44KB 1_image_classification 1-3_transfer_learning.ipynb 343KB .gitignore 84B 1_3_transfer_learning_on_GoogleColab.ipynb 345KB utils dataloader_image_classification.py 4KB __init__.py 46B 1-1_load_vgg.ipynb 374KB 1-1_load_vgg_on_GoogleColab.ipynb 389KB make_folders_and_data_downloads.ipynb 3KB 1-5_fine_tuning.ipynb 15KB data goldenretriever-3724972_640.jpg 86KB资源评论
