文件名称:gcForest_v1.0.1

介绍说明--下载内容均来自于网络,请自行研究使用

基于python 2.7的深度森林代码,用于图像处理和分类(Deep forest code based on Python 2.7 is used for image processing and classification)
相关搜索: gcForest
深度森林
python2
7

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
gcForest-master
gcForest-master\README.md 10139 2017-06-29
gcForest-master\README.txt 13198 2017-09-01
gcForest-master\datasets
gcForest-master\datasets\gtzan
gcForest-master\datasets\gtzan\get_data.sh 1025 2017-06-29
gcForest-master\datasets\gtzan\splits
gcForest-master\datasets\gtzan\splits\blues.train 1610 2017-06-29
gcForest-master\datasets\gtzan\splits\blues.trainval 2300 2017-06-29
gcForest-master\datasets\gtzan\splits\blues.val 690 2017-06-29
gcForest-master\datasets\gtzan\splits\classical.train 2170 2017-06-29
gcForest-master\datasets\gtzan\splits\classical.trainval 3100 2017-06-29
gcForest-master\datasets\gtzan\splits\classical.val 930 2017-06-29
gcForest-master\datasets\gtzan\splits\country.train 1890 2017-06-29
gcForest-master\datasets\gtzan\splits\country.trainval 2700 2017-06-29
gcForest-master\datasets\gtzan\splits\country.val 810 2017-06-29
gcForest-master\datasets\gtzan\splits\disco.train 1610 2017-06-29
gcForest-master\datasets\gtzan\splits\disco.trainval 2300 2017-06-29
gcForest-master\datasets\gtzan\splits\disco.val 690 2017-06-29
gcForest-master\datasets\gtzan\splits\genre.train 16660 2017-06-29
gcForest-master\datasets\gtzan\splits\genre.trainval 23800 2017-06-29
gcForest-master\datasets\gtzan\splits\genre.val 7140 2017-06-29
gcForest-master\datasets\gtzan\splits\genres.trainval 21800 2017-06-29
gcForest-master\datasets\gtzan\splits\hiphop.train 1750 2017-06-29
gcForest-master\datasets\gtzan\splits\hiphop.trainval 2500 2017-06-29
gcForest-master\datasets\gtzan\splits\hiphop.val 750 2017-06-29
gcForest-master\datasets\gtzan\splits\jazz.train 1470 2017-06-29
gcForest-master\datasets\gtzan\splits\jazz.trainval 2100 2017-06-29
gcForest-master\datasets\gtzan\splits\jazz.val 630 2017-06-29
gcForest-master\datasets\gtzan\splits\metal.train 1610 2017-06-29
gcForest-master\datasets\gtzan\splits\metal.trainval 2300 2017-06-29
gcForest-master\datasets\gtzan\splits\metal.val 690 2017-06-29
gcForest-master\datasets\gtzan\splits\pop.train 1330 2017-06-29
gcForest-master\datasets\gtzan\splits\pop.trainval 1900 2017-06-29
gcForest-master\datasets\gtzan\splits\pop.val 570 2017-06-29
gcForest-master\datasets\gtzan\splits\reggae.train 1750 2017-06-29
gcForest-master\datasets\gtzan\splits\reggae.trainval 2500 2017-06-29
gcForest-master\datasets\gtzan\splits\reggae.val 750 2017-06-29
gcForest-master\datasets\gtzan\splits\rock.train 1470 2017-06-29
gcForest-master\datasets\gtzan\splits\rock.trainval 2100 2017-06-29
gcForest-master\datasets\gtzan\splits\rock.val 630 2017-06-29
gcForest-master\datasets\uci_adult
gcForest-master\datasets\uci_adult\features 1142 2017-06-29
gcForest-master\datasets\uci_adult\get_data.sh 1111 2017-06-29
gcForest-master\datasets\uci_letter
gcForest-master\datasets\uci_letter\get_data.sh 1057 2017-06-29
gcForest-master\datasets\uci_semg
gcForest-master\datasets\uci_semg\get_data.sh 1103 2017-06-29
gcForest-master\datasets\uci_yeast
gcForest-master\datasets\uci_yeast\get_data.sh 1032 2017-06-29
gcForest-master\datasets\uci_yeast\yeast.label 59 2017-06-29
gcForest-master\lib
gcForest-master\lib\gcforest
gcForest-master\lib\gcforest\__init__.py
gcForest-master\lib\gcforest\cascade
gcForest-master\lib\gcforest\cascade\__init__.py
gcForest-master\lib\gcforest\cascade\cascade_classifier.py 13039 2017-06-29
gcForest-master\lib\gcforest\data_cache.py 5481 2017-06-29
gcForest-master\lib\gcforest\datasets
gcForest-master\lib\gcforest\datasets\__init__.py 2195 2017-06-29
gcForest-master\lib\gcforest\datasets\cifar10.py 2427 2017-06-29
gcForest-master\lib\gcforest\datasets\ds_base.py 3352 2017-06-29
gcForest-master\lib\gcforest\datasets\ds_pickle.py 2035 2017-06-29
gcForest-master\lib\gcforest\datasets\ds_pickle2.py 1484 2017-06-29
gcForest-master\lib\gcforest\datasets\gtzan.py 4399 2017-06-29
gcForest-master\lib\gcforest\datasets\imdb.py 3700 2017-06-29
gcForest-master\lib\gcforest\datasets\mnist.py 2357 2017-06-29
gcForest-master\lib\gcforest\datasets\olivetti_face.py 2031 2017-06-29
gcForest-master\lib\gcforest\datasets\uci_adult.py 4079 2017-06-29
gcForest-master\lib\gcforest\datasets\uci_letter.py 2017 2017-06-29
gcForest-master\lib\gcforest\datasets\uci_semg.py 3001 2017-06-29
gcForest-master\lib\gcforest\datasets\uci_yeast.py 2798 2017-06-29
gcForest-master\lib\gcforest\estimators
gcForest-master\lib\gcforest\estimators\__init__.py 1861 2017-06-29
gcForest-master\lib\gcforest\estimators\base_estimator.py 5350 2017-06-29
gcForest-master\lib\gcforest\estimators\est_utils.py 1906 2017-06-29
gcForest-master\lib\gcforest\estimators\kfold_wrapper.py 7996 2017-06-29
gcForest-master\lib\gcforest\estimators\sklearn_estimators.py 2546 2017-06-29
gcForest-master\lib\gcforest\exp_utils.py 6499 2017-06-29
gcForest-master\lib\gcforest\fgnet.py 6951 2017-06-29
gcForest-master\lib\gcforest\layers
gcForest-master\lib\gcforest\layers\__init__.py 1752 2017-06-29
gcForest-master\lib\gcforest\layers\base_layer.py 2670 2017-06-29
gcForest-master\lib\gcforest\layers\fg_concat_layer.py 2619 2017-06-29
gcForest-master\lib\gcforest\layers\fg_pool_layer.py 3907 2017-06-29
gcForest-master\lib\gcforest\layers\fg_win_layer.py 6866 2017-06-29
gcForest-master\lib\gcforest\utils
gcForest-master\lib\gcforest\utils\__init__.py
gcForest-master\lib\gcforest\utils\audio_utils.py 1836 2017-06-29
gcForest-master\lib\gcforest\utils\cache_utils.py 102 2017-06-29
gcForest-master\lib\gcforest\utils\config_utils.py 1777 2017-06-29
gcForest-master\lib\gcforest\utils\debug_utils.py 211 2017-06-29
gcForest-master\lib\gcforest\utils\log_utils.py 1316 2017-06-29
gcForest-master\lib\gcforest\utils\metrics.py 886 2017-06-29
gcForest-master\lib\gcforest\utils\win_utils.py 2807 2017-06-29
gcForest-master\models
gcForest-master\models\cifar10
gcForest-master\models\cifar10\gcforest
gcForest-master\models\cifar10\gcforest\fg-tree500-depth100-3folds-ca.json 2831 2017-06-29
gcForest-master\models\cifar10\gcforest\fg-tree500-depth100-3folds.json 3651 2017-06-29

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org