深度学习算法实践源码-吴岸城

上传者: fshxb | 上传时间: 2019-12-21 18:49:40 | 文件大小: 12.68MB | 文件类型: zip
深度学习算法实践-电子工业出版社-吴岸城-2017年1月-随书源码

文件下载

资源详情

[{"title":"( 69 个子文件 12.68MB ) 深度学习算法实践源码-吴岸城","children":[{"title":"Book_DeepLearning_Practice-master","children":[{"title":".gitignore <span style='color:#111;'> 7B </span>","children":null,"spread":false},{"title":"3_Chapter","children":[{"title":"InceptionV4_MXNET","children":[{"title":"symbol_inception-v4.py <span style='color:#111;'> 7.52KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 632B </span>","children":null,"spread":false}],"spread":true},{"title":"opencv_dlib","children":[{"title":"ReadMe.md <span style='color:#111;'> 94B </span>","children":null,"spread":false},{"title":"FaceDetection","children":[{"title":"haarcascade_fullbody.xml <span style='color:#111;'> 465.65KB </span>","children":null,"spread":false},{"title":"Face_Detection.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"images-7.jpg <span style='color:#111;'> 24.20KB </span>","children":null,"spread":false},{"title":"haarcascade_lowerbody.xml <span style='color:#111;'> 386.05KB </span>","children":null,"spread":false},{"title":"images-9.jpg <span style='color:#111;'> 34.68KB </span>","children":null,"spread":false},{"title":"images-10.jpg <span style='color:#111;'> 21.81KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt_tree.xml <span style='color:#111;'> 2.56MB </span>","children":null,"spread":false},{"title":"haarcascade_smile.xml <span style='color:#111;'> 184.23KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_default.xml <span style='color:#111;'> 908.33KB </span>","children":null,"spread":false},{"title":"web-1.jpg <span style='color:#111;'> 25.13KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt.xml <span style='color:#111;'> 660.85KB </span>","children":null,"spread":false},{"title":"Face_Detection_Images.py <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"face_detector_dlib2.py <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"face_detector_dlib.py <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"Face_Detection_Raspi.py <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"web-2.jpg <span style='color:#111;'> 46.56KB </span>","children":null,"spread":false},{"title":"images-8.jpg <span style='color:#111;'> 23.19KB </span>","children":null,"spread":false},{"title":"lbpcascade_frontalface.xml <span style='color:#111;'> 49.17KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt2.xml <span style='color:#111;'> 527.94KB </span>","children":null,"spread":false},{"title":"face_detection_camera_dlib.py <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"face_detector_dlib3.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"lbpcascade_profileface.xml <span style='color:#111;'> 44.67KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true},{"title":"ReadMe <span style='color:#111;'> 412B </span>","children":null,"spread":false},{"title":"6_Chapter","children":[{"title":"stock_prediction","children":[{"title":"algorithum","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"reg_mlp.py <span style='color:#111;'> 728B </span>","children":null,"spread":false},{"title":"rmse.py <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"additon_lstm.py <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"reg_lstm.py <span style='color:#111;'> 484B </span>","children":null,"spread":false},{"title":"clf_mlp.py <span style='color:#111;'> 717B </span>","children":null,"spread":false}],"spread":true},{"title":"xgboost_test.py <span style='color:#111;'> 6.45KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"sh.csv <span style='color:#111;'> 48.34KB </span>","children":null,"spread":false},{"title":"cpi.csv <span style='color:#111;'> 5.38KB </span>","children":null,"spread":false},{"title":"gdp_quarter.csv <span style='color:#111;'> 8.01KB </span>","children":null,"spread":false},{"title":"gdp_year.csv <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false},{"title":"money_supply.csv <span style='color:#111;'> 45.68KB </span>","children":null,"spread":false},{"title":"sz.csv <span style='color:#111;'> 50.19KB </span>","children":null,"spread":false},{"title":"rrr.csv <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false}],"spread":true},{"title":"contributors.txt <span style='color:#111;'> 8B </span>","children":null,"spread":false},{"title":"readme <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"lstm_test.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"data_preprocess","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"load_data.py <span style='color:#111;'> 23.93KB </span>","children":null,"spread":false},{"title":"lunar.py <span style='color:#111;'> 11.33KB </span>","children":null,"spread":false},{"title":"Extract_Features.py <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'> 15.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"multiprocess_compute.py <span style='color:#111;'> 7.45KB </span>","children":null,"spread":false},{"title":"policy2.py <span style='color:#111;'> 9.29KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"2_Chapter","children":[{"title":"sentiment","children":[{"title":"LSTM","children":[{"title":"lstm_model.py <span style='color:#111;'> 931B </span>","children":null,"spread":false},{"title":"extract_feature.py <span style='color:#111;'> 5.28KB </span>","children":null,"spread":false},{"title":"test_lstm.py <span style='color:#111;'> 340B </span>","children":null,"spread":false}],"spread":true},{"title":"规则","children":[{"title":"sentiment_kb.py <span style='color:#111;'> 17.87KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"word2vec_wiki","children":[{"title":"process_wiki.py <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"word2vec_wiki.py <span style='color:#111;'> 4.36KB </span>","children":null,"spread":false}],"spread":true},{"title":"mail","children":[{"title":"stopwords.txt <span style='color:#111;'> 4.55KB </span>","children":null,"spread":false},{"title":"text_preprocess.py <span style='color:#111;'> 452B </span>","children":null,"spread":false},{"title":"mail_classily.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"dialogue","children":[{"title":"提取和选择","children":[{"title":"answer_find_out.py <span style='color:#111;'> 12.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"爬取","children":[{"title":"fromSE.py <span style='color:#111;'> 37.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"蕴含","children":[{"title":"textual_entailment.py <span style='color:#111;'> 8.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"相似提取答案","children":[{"title":"Compress.py <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"DeepTextClf","children":[{"title":"data","children":[{"title":"corpus","children":[{"title":"reviews","children":[{"title":"5_point.txt <span style='color:#111;'> 13.53MB </span>","children":null,"spread":false},{"title":"1_point.txt <span style='color:#111;'> 15.99MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"algorithm","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"text_feature_extract_model1.png <span style='color:#111;'> 70.21KB </span>","children":null,"spread":false},{"title":"RNN-CNN_feature_extract.py <span style='color:#111;'> 5.94KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明